From 8c1d697fd9ff062baa97a34d7d2e6212fb941970 Mon Sep 17 00:00:00 2001 From: Sina Tabakhi Date: Wed, 15 Jun 2022 23:56:35 +0100 Subject: [PATCH] Add java doc to the project --- docs/java-docs/v0.1.0/allclasses-index.html | 758 ++ docs/java-docs/v0.1.0/allpackages-index.html | 140 + docs/java-docs/v0.1.0/constant-values.html | 678 ++ docs/java-docs/v0.1.0/copy.svg | 33 + docs/java-docs/v0.1.0/element-list | 37 + docs/java-docs/v0.1.0/index-all.html | 7664 +++++++++++++++++ docs/java-docs/v0.1.0/index.html | 142 + docs/java-docs/v0.1.0/jquery-ui.overrides.css | 34 + docs/java-docs/v0.1.0/legal/COPYRIGHT | 1 + docs/java-docs/v0.1.0/legal/LICENSE | 1 + docs/java-docs/v0.1.0/legal/jquery.md | 72 + docs/java-docs/v0.1.0/legal/jqueryUI.md | 49 + docs/java-docs/v0.1.0/member-search-index.js | 1 + docs/java-docs/v0.1.0/module-search-index.js | 1 + docs/java-docs/v0.1.0/overview-summary.html | 26 + docs/java-docs/v0.1.0/overview-tree.html | 355 + docs/java-docs/v0.1.0/package-search-index.js | 1 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docs/java-docs/v0.1.0/unifeat/util/package-tree.html create mode 100644 docs/java-docs/v0.1.0/unifeat/util/package-use.html diff --git a/docs/java-docs/v0.1.0/allclasses-index.html b/docs/java-docs/v0.1.0/allclasses-index.html new file mode 100644 index 0000000..3515629 --- /dev/null +++ b/docs/java-docs/v0.1.0/allclasses-index.html @@ -0,0 +1,758 @@ + + + + +All Classes and Interfaces (UniFeat 0.1.0 API) + + + + + + + + + + + + + + + +
+ +
+
+
+

All Classes and Interfaces

+
+
+
Classes
+
+
Class
+
Description
+
AboutPanel
+
+
This java class is used to create and show a panel for description of the + tool.
+
+
Ant
+
+
This java class is used to represent an ant in optimal ant colony + optimization (Optimal ACO) method.
+
+
ArraysFunc
+
+
This java class is used to implement various utility methods for manipulating + arrays and matrices.
+
+
BasicACO<ColonyType>
+
+
The abstract class contains the main methods and fields that are used in all + ACO-based feature selection methods.
+
+
BasicACOPanel
+
+
This java class is used to create and show a panel for the parameter settings + of the basic ant colony optimization (BasicACO) method.
+
+
BasicAnt
+
+
The abstract class contains the main methods and fields that are used in all + ACO-based feature selection methods.
+
+
BasicColony<AntType>
+
+
The abstract class contains the main methods and fields that are used in all + ACO-based feature selection methods.
+
+
BasicGA<PopulationType>
+
+
The abstract class contains the main methods and fields that are used in all + GA-based feature selection methods.
+
+
BasicGAPanel
+
+
This java class is used to create and show a panel for the parameter settings + of the basic genetic algorithm (BasicGA) method.
+
+
BasicGraphRepresentation
+
+
The abstract class contains the main methods and fields that are used to + represent discrete search space as a graph in ACO algorithm.
+
+
BasicIndividual<GeneType>
+
+
The abstract class contains the main methods and fields that are used in all + GA-based feature selection methods.
+
+
BasicParticle<PosType,VelType>
+
+
The abstract class contains the main methods and fields that are used in all + PSO-based feature selection methods.
+
+
BasicPopulation<IndividualType>
+
+
The abstract class contains the main methods and fields that are used in all + GA-based feature selection methods.
+
+
BasicPSO<SwarmType>
+
+
The abstract class contains the main methods and fields that are used in all + PSO-based feature selection methods.
+
+
BasicPSOPanel
+
+
This java class is used to create and show a panel for the parameter settings + of the basic particle swarm optimization (BasicPSO) method.
+
+
BasicSwarm<PosType,ParType>
+
+
The abstract class contains the main methods and fields that are used in all + PSO-based feature selection methods.
+
+
BPSO
+
+
This java class is used to implement feature selection method based on binary + particle swarm optimization (BPSO) in which the type of Swarm is extended + from Swarm class.
+
+
BPSOPanel
+
+
This java class is used to create and show a panel for the parameter settings + of the binary particle swarm optimization (BPSO) method.
+
+
ClassifierType
+
+
This java class is used to define the names of classifiers.
+
+
Colony
+
+
This java class is used to implement a colony of ants in optimal ant colony + optimization (Optimal ACO) method in which the type of ant is extended from + Ant class.
+
+
CPSO
+
+
This java class is used to implement feature selection method based on + continuous particle swarm optimization (CPSO) in which the type of Swarm is + extended from Swarm class.
+
+
CPSOPanel
+
+
This java class is used to create and show a panel for the parameter settings + of the continuous particle swarm optimization (CPSO) method.
+
+
Criteria
+
+
This java class is used to set different criteria values used in the feature + selection area of research.
+
+
CriticalValue
+
+
This java class is used to display various critical values of the table.
+
+
CrossoverOperator
+
+
This java class is used to implement various crossover operators for + recombining the two parents to generate new offsprings
+
+
CrossOverType
+
+
This java class is used to define the names of different implementation of + crossover.
+
+
CrossValidation
+
+
This java class is used to apply the classifiers for computing the + performance of the feature selection methods.
+
+
DatasetInfo
+
+
This java class is used to keep the input data, split input data to + test/train sets and crate CSV file format.
+
+
DecisionTreeBasedMethod
+
+
This java class is used to implement the decision tree based methods.
+
+
DecisionTreeBasedPanel
+
+
This java class is used to create and show a panel for the parameter settings + of the decision tree based method.
+
+
DiagramPanel
+
+
This java class is used to create and show the 2-D diagrams of the input + values
+
+
DTClassifierPanel
+
+
This java class is used to create and show a panel for the parameter settings + of the decision tree classifier.
+
+
EmbeddedApproach
+
+
The abstract class contains the main methods and fields that are used in all + embedded-based feature selection methods.
+
+
EmbeddedType
+
+
This java class is used to define the names of embedded-based feature + selection methods.
+
+
EnumType
+
+
The abstract class contains the main methods and fields that are used in all + enumerable types.
+
+
FeatureSelection
+
+
The abstract class contains the main methods and fields that are used in all + feature selection methods.
+
+
FeatureWeighting
+
+
The abstract class contains the main methods and fields that are used in all + feature weighting methods.
+
+
FileFunc
+
+
This java class is used to implement various utility methods for manipulating + files and directories.
+
+
FilterApproach
+
+
The abstract class contains the main methods and fields that are used in all + filter-based feature selection methods.
+
+
FilterType
+
+
This java class is used to define the names of filter-based feature selection + methods.
+
+
FisherScore
+
+
This java class is used to implement the Fisher score method.
+
+
FitnessEvaluator
+
+
This java class is used to implement fitness evaluator of a solution in which + k-fold cross validation on training set is used for evaluating the + classification performance of a selected feature subset.
+
+
FriedmanPanel
+
+
This java class is used to create and show a panel for analyzing the results + based on the Friedman test.
+
+
GainRatio
+
+
This java class is used to implement the gain ratio method.
+
+
GiniIndex
+
+
This java class is used to implement the Gini index method.
+
+
GraphRepresentation
+
+
This java class is used to represent a graph in optimal ant colony + optimization (optimal ACO) method.
+
+
HGAFS
+
+
This java class is used to implement feature selection method based on hybrid + genetic algorithm for feature selection using local search (HGAFS) in which + the type of Population is extended from Population class.
+
+
HGAFSPanel
+
+
This java class is used to create and show a panel for the parameter settings + of the hybrid genetic algorithm using local search (HGAFS).
+
+
HPSO_LS
+
+
This java class is used to implement feature selection based on hybrid + particle swarm optimization method using local search (HPSO-LS) in which the + type of Swarm is extended from Swarm class.
+
+
HPSO_LSPanel
+
+
This java class is used to create and show a panel for the parameter settings + of the hybrid particle swarm optimization method using local search + (HPSO-LS).
+
+
HybridApproach
+
+
The abstract class contains the main methods and fields that are used in all + hybrid-based feature selection methods.
+
+
HybridType
+
+
This java class is used to define the names of hybrid-based feature selection + methods.
+
+
Individual
+
+
This java class is used to represent an individual in simple genetic + algorithm (Simple GA) method in which the type of gene vector is boolean.
+
+
Individual
+
+
This java class is used to represent an individual in simple genetic + algorithm (Simple GA) method in which the type of gene vector is boolean.
+
+
InformationGain
+
+
This java class is used to implement the information gain method.
+
+
IRRFSACO_1
+
+
This java class is used to implement the incremental relevance-redundancy + feature selection based on ant colony optimization, version1 (IRRFSACO_1) + method.
+
+
IRRFSACO_1Panel
+
+
This java class is used to create and show a panel for the parameter settings + of the incremental relevance-redundancy feature selection based on ant colony + optimization, version1 (IRRFSACO_1) method.
+
+
IRRFSACO_2
+
+
This java class is used to implement the incremental relevance–redundancy + feature selection based on ant colony optimization, version2 (IRRFSACO_2) + method.
+
+
IRRFSACO_2Panel
+
+
This java class is used to create and show a panel for the parameter settings + of the incremental relevance–redundancy feature selection based on ant colony + optimization, version2 (IRRFSACO_2) method.
+
+
KNNClassifierPanel
+
+
This java class is used to create and show a panel for the parameter settings + of the k-nearest neighbours classifier.
+
+
LaplacianScore
+
+
This java class is used to implement the Laplacian score method.
+
+
LaplacianScore
+
+
This java class is used to implement the Laplacian score method.
+
+
LaplacianScorePanel
+
+
This java class is used to create and show a panel for the parameter settings + of the Laplacian score method.
+
+
MainPanel
+
+
This java class is used to create and show the main panel of the project.
+
+
MathFunc
+
+
This java class is used to implement various utility methods for performing + basic statistical operation such as the mean and variance.
+
+
MGSACO
+
+
This java class is used to implement the microarray gene selection based on + ant colony optimization (MGSACO) method.
+
+
MGSACOPanel
+
+
This java class is used to create and show a panel for the parameter settings + of the microarray gene selection based on ant colony optimization (MGSACO) + method.
+
+
MoreOpPanel
+
+
This java class is used to create and show a panel for the "more option" + button of the feature selection methods.
+
+
MRMR
+
+
This java class is used to implement the minimal redundancy maximal + relevance (mRMR) method.
+
+
MSVM_RFE
+
+
This java class is used to implement MSVM_RFE method for binary + classification based on SVM_RFE method (support vector machine method based + on recursive feature elimination) in which multiple linear SVMs trained on + subsamples of the original training data.
+
+
MSVM_RFEPanel
+
+
This java class is used to create and show a panel for the parameter settings + of the multiple support vector machine method based on recursive feature + elimination (MSVM_RFE).
+
+
MultivariateMethodType
+
+
This java class is used to define the names of multivariate method used in + RSM feature selection method.
+
+
MutationOperator
+
+
This java class is used to implement various mutation operators for mutating + new offsprings by changing the value of some genes in them.
+
+
MutationType
+
+
This java class is used to define the names of different implementation of + mutation.
+
+
MutualCorrelation
+
+
This java class is used to implement the mutual correlation method.
+
+
NonWeightedFilterType
+
+
This java class is used to define the names of non weighted filter-based + feature selection methods.
+
+
OptimalACO
+
+
This java class is used to implement feature selection method based on + optimal ant colony optimization (Optimal ACO) in which the type of Colony is + extended from Colony class.
+
+
OptimalACOPanel
+
+
This java class is used to create and show a panel for the parameter settings + of the optimal ant colony optimization (OptimalACO) method.
+
+
OVA_SVM_RFE
+
+
This java class is used to implement OVA_SVM_RFE method for multiclass + classification based on SVM_RFE method (support vector machine method based + on recursive feature elimination) in which One-Versus-All (OVA) strategy is + applied to construct binary classifiers.
+
+
OVO_SVM_RFE
+
+
This java class is used to implement OVO_SVM_RFE method for multiclass + classification based on SVM_RFE method (support vector machine method based + on recursive feature elimination) in which One-Versus-One (OVO) strategy is + applied to construct binary classifiers.
+
+
ParameterPanel
+
+
The abstract class contains the main methods and fields that are used to + create and show a panel for the parameter settings.
+
+
Particle
+
+
This java class is used to represent a particle in binary particle swarm + optimization (BPSO) method in which the type of position vector is boolean + and the type of velocity vector is double.
+
+
Particle
+
+
This java class is used to represent a particle in continuous particle swarm + optimization (CPSO) method in which the type of position and velocity vectors + are double.
+
+
Particle
+
+
This java class is used to represent a particle in hybrid particle swarm + optimization method using local search (HPSO-LS) in which the type of + position vector is boolean and the type of velocity vector is double.
+
+
Particle
+
+
This java class is used to represent a particle in particle swarm + optimization version 4-2(PSO(4-2)) method in which the type of position and + velocity vectors are double.
+
+
PerformanceMeasures
+
+
This java class is used to save all performance measure values obtained from + different runs of given feature selection method.
+
+
Population
+
+
This java class is used to implement a population of individuals in hybrid + genetic algorithm for feature selection using local search (HGAFS) in which + the type of individual is extended from Individual class.
+
+
Population
+
+
This java class is used to implement a population of individuals in simple + genetic algorithm (Simple GA) method in which the type of individual is + extended from Individual class.
+
+
PreprocessPanel
+
+
This java class is used to create and show a panel for preprocessing of the + datasets.
+
+
ProjectPath
+
+
This java class is used to create and show a panel for the selecting path for + the project.
+
+
PSO42
+
+
This java class is used to implement feature selection method based on + particle swarm optimization version 4-2(PSO(4-2)) with new initialization + strategy and updating rule in which the type of Swarm is extended from Swarm + class.
+
+
PSO42Panel
+
+
This java class is used to create and show a panel for the parameter settings + of the particle swarm optimization version 4-2 (PSO(4-2)) method.
+
+
RandomForestMethod
+
+
This java class is used to implement the random forest based method for + feature selection.
+
+
ReplacementType
+
+
This java class is used to define the names of different implementation of + generation replacement.
+
+
ResultPanel
+
+
This java class is used to create and show a panel for showing the results.
+
+
Results
+
+
This java class is used to implement various methods for showing the results + in the result panel.
+
+
ResultType
+
+
This java class is used to define the types of result.
+
+
RRFS
+
+
This java class is used to implement the relevance-redundancy feature + selection(RRFS) method.
+
+
RRFS
+
+
This java class is used to implement the relevance-redundancy feature + selection(RRFS) method.
+
+
RRFSACO_1
+
+
This java class is used to implement the relevance–redundancy feature + selection based on ant colony optimization, version1 (RRFSACO_1) method.
+
+
RRFSACO_1Panel
+
+
This java class is used to create and show a panel for the parameter settings + of the relevance–redundancy feature selection based on ant colony + optimization, version1 (RRFSACO_1) method.
+
+
RRFSACO_2
+
+
This java class is used to implement the relevance–redundancy feature + selection based on ant colony optimization, version2 (RRFSACO_2) method.
+
+
RRFSACO_2Panel
+
+
This java class is used to create and show a panel for the parameter settings + of the relevance–redundancy feature selection based on ant colony + optimization, version2 (RRFSACO_2) method.
+
+
RRFSPanel
+
+
This java class is used to create and show a panel for the parameter settings + of the relevance-redundancy feature selection(RRFS) method.
+
+
RSM
+
+
This java class is used to implement the random subspace method(RSM) method.
+
+
RSMPanel
+
+
This java class is used to create and show a panel for the parameter settings + of the random subspace method (RSM) method.
+
+
SelectionOperator
+
+
This java class is used to implement various selection operators for + selecting parents from the individuals of a population according to their + fitness that will recombine for next generation.
+
+
SelectionType
+
+
This java class is used to define the names of different implementation of + selection.
+
+
SelectModePanel
+
+
This java class is used to create and show a panel for the selecting mode of + showing the results.
+
+
SelectModeType
+
+
This java class is used to define the names of select mode used in the result
+
+
SimpleGA
+
+
This java class is used to implement feature selection method based on simple + genetic algorithm (Simple GA) in which the type of Population is extended + from Population class.
+
+
SimpleGAPanel
+
+
This java class is used to create and show a panel for the parameter settings + of the simple genetic algorithm (Simple GA).
+
+
SupervisedFilterType
+
+
This java class is used to define the names of supervised filter-based + feature selection methods.
+
+
SVM_RFE
+
+
This java class is used to implement support vector machine method based on + recursive feature elimination (SVM_RFE).
+
+
SVMBasedMethods
+
+
The abstract class contains the main methods and fields that are used in all + SVM-based feature selection methods.
+
+
SVMClassifierPanel
+
+
This java class is used to create and show a panel for the parameter settings + of the support vector machine classifier.
+
+
SVMKernelType
+
+
This java class is used to define the names of kernel used in SVM.
+
+
Swarm
+
+
This java class is used to implement a swarm of particles in binary particle + swarm optimization (BPSO) method in which the type of position vector is + boolean and the type of particle is extended from Particle class.
+
+
Swarm
+
+
This java class is used to implement a swarm of particles in continuous + particle swarm optimization (CPSO) method in which the type of position + vector is double and the type of particle is extended from Particle class.
+
+
Swarm
+
+
This java class is used to implement a swarm of particles in hybrid particle + swarm optimization method using local search (HPSO-LS) in which the type of + position vector is boolean and the type of particle is extended from Particle + class.
+
+
Swarm
+
+
This java class is used to implement a swarm of particles in particle swarm + optimization version 4-2(PSO(4-2)) method in which the type of position + vector is double and the type of particle is extended from Particle class.
+
+
SymmetricalUncertainty
+
+
This java class is used to implement the symmetrical uncertainty method.
+
+
TermVariance
+
+
This java class is used to implement the term variance method.
+
+
TrainTestEvaluation
+
+
This java class is used to apply the classifiers for computing the + performance of the feature selection methods.
+
+
TreeBasedMethods
+
+
The abstract class contains the main methods and fields that are used in all + Tree-based feature selection methods.
+
+
TreeType
+
+
This java class is used to define the names of different implementation of + Tree.
+
+
UFSACO
+
+
This java class is used to implement the unsupervised feature selection based + on ant colony optimization (UFSACO) method.
+
+
UFSACOPanel
+
+
This java class is used to create and show a panel for the parameter settings + of the unsupervised feature selection based on ant colony optimization + (UFSACO) method.
+
+
UnsupervisedFilterType
+
+
This java class is used to define the names of unsupervised filter-based + feature selection methods.
+
+
WeightedFilterApproach
+
+
The abstract class contains the main methods and fields that are used in all + weighted filter feature selection methods.
+
+
WeightedFilterType
+
+
This java class is used to define the names of weighted filter-based feature + selection methods.
+
+
WekaSVMKernel
+
+
This java class is used to convert SVM kernel implemented in unifeat tool to SVM + kernel implemented in weka software.
+
+
WrapperApproach
+
+
The abstract class contains the main methods and fields that are used in all + wrapper-based feature selection methods.
+
+
WrapperType
+
+
This java class is used to define the names of wrapper-based feature + selection methods.
+
+
+
+
+ +
+
+ + diff --git a/docs/java-docs/v0.1.0/allpackages-index.html b/docs/java-docs/v0.1.0/allpackages-index.html new file mode 100644 index 0000000..0a69ce4 --- /dev/null +++ b/docs/java-docs/v0.1.0/allpackages-index.html @@ -0,0 +1,140 @@ + + + + +All Packages (UniFeat 0.1.0 API) + + + + + + + + + + + + + + + +
+ +
+
+
+

All Packages

+
+
Package Summary
+
+
Package
+
Description
+
unifeat.classifier
+
 
+
unifeat.classifier.evaluation.wekaClassifier
+
 
+
unifeat.dataset
+
 
+
unifeat.featureSelection
+
 
+
unifeat.featureSelection.embedded
+
 
+
unifeat.featureSelection.embedded.SVMBasedMethods
+
 
+
unifeat.featureSelection.embedded.TreeBasedMethods
+
 
+
unifeat.featureSelection.filter
+
 
+
unifeat.featureSelection.filter.supervised
+
 
+
unifeat.featureSelection.filter.unsupervised
+
 
+
unifeat.featureSelection.hybrid
+
 
+
unifeat.featureSelection.wrapper
+
 
+
unifeat.featureSelection.wrapper.ACOBasedMethods
+
 
+
unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO
+
 
+
unifeat.featureSelection.wrapper.GABasedMethods
+
 
+
unifeat.featureSelection.wrapper.GABasedMethods.HGAFS
+
 
+
unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA
+
 
+
unifeat.featureSelection.wrapper.PSOBasedMethods
+
 
+
unifeat.featureSelection.wrapper.PSOBasedMethods.BPSO
+
 
+
unifeat.featureSelection.wrapper.PSOBasedMethods.CPSO
+
 
+
unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS
+
 
+
unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42
+
 
+
unifeat.gui
+
 
+
unifeat.gui.classifier
+
 
+
unifeat.gui.classifier.svmClassifier
+
 
+
unifeat.gui.featureSelection.embedded
+
 
+
unifeat.gui.featureSelection.embedded.decisionTreeBased
+
 
+
unifeat.gui.featureSelection.filter
+
 
+
unifeat.gui.featureSelection.filter.rsm
+
 
+
unifeat.gui.featureSelection.wrapper.ACOBased
+
 
+
unifeat.gui.featureSelection.wrapper.GABased
+
 
+
unifeat.gui.featureSelection.wrapper.PSOBased
+
 
+
unifeat.gui.menu
+
 
+
unifeat.gui.menu.selectMode
+
 
+
unifeat.result
+
 
+
unifeat.result.performanceMeasure
+
 
+
unifeat.util
+
 
+
+
+ +
+
+ + diff --git a/docs/java-docs/v0.1.0/constant-values.html b/docs/java-docs/v0.1.0/constant-values.html new file mode 100644 index 0000000..db44599 --- /dev/null +++ b/docs/java-docs/v0.1.0/constant-values.html @@ -0,0 +1,678 @@ + + + + +Constant Field Values (UniFeat 0.1.0 API) + + + + + + + + + + + + + + + +
+ +
+
+
+

Constant Field Values

+
+

Contents

+ +
+
+
+

unifeat.featureSelection.*

+ +
    +
  • +
    unifeat.featureSelection.filter.supervised.FisherScore
    +
    +
    Modifier and Type
    +
    Constant Field
    +
    Value
    +
    private final double
    +
    ERROR_DENOMINATOR
    +
    1.0E-4
    +
    +
    • +
  • +
    unifeat.featureSelection.filter.supervised.GainRatio
    +
    +
    Modifier and Type
    +
    Constant Field
    +
    Value
    +
    private final double
    +
    ERROR_DENOMINATOR
    +
    1.0E-4
    +
    +
    • +
  • +
    unifeat.featureSelection.filter.supervised.LaplacianScore
    +
    +
    Modifier and Type
    +
    Constant Field
    +
    Value
    +
    private final double
    +
    ERROR_DENOMINATOR
    +
    1.0E-4
    +
    +
    • +
  • +
    unifeat.featureSelection.filter.supervised.SymmetricalUncertainty
    +
    +
    Modifier and Type
    +
    Constant Field
    +
    Value
    +
    private final double
    +
    ERROR_DENOMINATOR
    +
    1.0E-4
    +
    +
    • +
+
    +
  • +
    unifeat.featureSelection.filter.unsupervised.IRRFSACO_1
    +
    +
    Modifier and Type
    +
    Constant Field
    +
    Value
    +
    private final double
    +
    ERROR_RELEVANCE
    +
    1.0E-4
    +
    private final double
    +
    ERROR_SIMILARITY
    +
    1.0E-4
    +
    +
    • +
  • +
    unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
    +
    +
    Modifier and Type
    +
    Constant Field
    +
    Value
    +
    private final double
    +
    ERROR_RELEVANCE
    +
    1.0E-4
    +
    private final double
    +
    ERROR_SIMILARITY
    +
    1.0E-4
    +
    +
    • +
  • +
    unifeat.featureSelection.filter.unsupervised.LaplacianScore
    +
    +
    Modifier and Type
    +
    Constant Field
    +
    Value
    +
    private final double
    +
    ERROR_DENOMINATOR
    +
    1.0E-4
    +
    +
    • +
  • +
    unifeat.featureSelection.filter.unsupervised.MGSACO
    +
    +
    Modifier and Type
    +
    Constant Field
    +
    Value
    +
    private final double
    +
    ERROR_RELEVANCE
    +
    1.0E-4
    +
    private final double
    +
    ERROR_SIMILARITY
    +
    1.0E-4
    +
    +
    • +
  • +
    unifeat.featureSelection.filter.unsupervised.RRFSACO_1
    +
    +
    Modifier and Type
    +
    Constant Field
    +
    Value
    +
    private final double
    +
    ERROR_RELEVANCE
    +
    1.0E-4
    +
    private final double
    +
    ERROR_SIMILARITY
    +
    1.0E-4
    +
    +
    • +
  • +
    unifeat.featureSelection.filter.unsupervised.RRFSACO_2
    +
    +
    Modifier and Type
    +
    Constant Field
    +
    Value
    +
    private final double
    +
    ERROR_RELEVANCE
    +
    1.0E-4
    +
    private final double
    +
    ERROR_SIMILARITY
    +
    1.0E-4
    +
    +
    • +
  • +
    unifeat.featureSelection.filter.unsupervised.UFSACO
    +
    +
    Modifier and Type
    +
    Constant Field
    +
    Value
    +
    private final double
    +
    ERROR_SIMILARITY
    +
    1.0E-4
    +
    +
    • +
+
+
+

unifeat.gui.*

+ + + + + + + +
    +
  • +
    unifeat.gui.featureSelection.wrapper.GABased.HGAFSPanel
    +
    +
    Modifier and Type
    +
    Constant Field
    +
    Value
    +
    private static final double
    +
    DEFAULT_EPSILON
    +
    0.5
    +
    private static final double
    +
    DEFAULT_MU
    +
    0.65
    +
    +
    • +
+
    +
  • +
    unifeat.gui.featureSelection.wrapper.PSOBased.CPSOPanel
    +
    +
    Modifier and Type
    +
    Constant Field
    +
    Value
    +
    private static final double
    +
    DEFAULT_THETA
    +
    0.6
    +
    +
    • +
  • +
    unifeat.gui.featureSelection.wrapper.PSOBased.HPSO_LSPanel
    +
    +
    Modifier and Type
    +
    Constant Field
    +
    Value
    +
    private static final double
    +
    DEFAULT_ALPHA
    +
    0.65
    +
    private static final double
    +
    DEFAULT_EPSILON
    +
    0.5
    +
    +
    • +
  • +
    unifeat.gui.featureSelection.wrapper.PSOBased.PSO42Panel
    +
    +
    Modifier and Type
    +
    Constant Field
    +
    Value
    +
    private static final double
    +
    DEFAULT_THETA
    +
    0.6
    +
    +
    • +
+ +
+
+ +
+
+ + diff --git a/docs/java-docs/v0.1.0/copy.svg b/docs/java-docs/v0.1.0/copy.svg new file mode 100644 index 0000000..d435f6c --- /dev/null +++ b/docs/java-docs/v0.1.0/copy.svg @@ -0,0 +1,33 @@ + + + + + + + + diff --git a/docs/java-docs/v0.1.0/element-list b/docs/java-docs/v0.1.0/element-list new file mode 100644 index 0000000..efedbbe --- /dev/null +++ b/docs/java-docs/v0.1.0/element-list @@ -0,0 +1,37 @@ +unifeat.classifier +unifeat.classifier.evaluation.wekaClassifier +unifeat.dataset +unifeat.featureSelection +unifeat.featureSelection.embedded +unifeat.featureSelection.embedded.SVMBasedMethods +unifeat.featureSelection.embedded.TreeBasedMethods +unifeat.featureSelection.filter +unifeat.featureSelection.filter.supervised +unifeat.featureSelection.filter.unsupervised +unifeat.featureSelection.hybrid +unifeat.featureSelection.wrapper +unifeat.featureSelection.wrapper.ACOBasedMethods +unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO +unifeat.featureSelection.wrapper.GABasedMethods +unifeat.featureSelection.wrapper.GABasedMethods.HGAFS +unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA +unifeat.featureSelection.wrapper.PSOBasedMethods +unifeat.featureSelection.wrapper.PSOBasedMethods.BPSO +unifeat.featureSelection.wrapper.PSOBasedMethods.CPSO +unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS +unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42 +unifeat.gui +unifeat.gui.classifier +unifeat.gui.classifier.svmClassifier +unifeat.gui.featureSelection.embedded +unifeat.gui.featureSelection.embedded.decisionTreeBased +unifeat.gui.featureSelection.filter +unifeat.gui.featureSelection.filter.rsm +unifeat.gui.featureSelection.wrapper.ACOBased +unifeat.gui.featureSelection.wrapper.GABased +unifeat.gui.featureSelection.wrapper.PSOBased +unifeat.gui.menu +unifeat.gui.menu.selectMode +unifeat.result +unifeat.result.performanceMeasure +unifeat.util diff --git a/docs/java-docs/v0.1.0/index-all.html b/docs/java-docs/v0.1.0/index-all.html new file mode 100644 index 0000000..1185750 --- /dev/null +++ b/docs/java-docs/v0.1.0/index-all.html @@ -0,0 +1,7664 @@ + + + + +Index (UniFeat 0.1.0 API) + + + + + + + + + + + + + + + +
+ +
+
+
+

Index

+
+A B C D E F G H I K L M N O P Q R S T U V W X Y 
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form +

A

+
+
AboutPanel - Class in unifeat.gui.menu
+
+
This java class is used to create and show a panel for description of the + tool.
+
+
AboutPanel() - Constructor for class unifeat.gui.menu.AboutPanel
+
+
Creates new form AboutPanel.
+
+
accuracy - Variable in class unifeat.result.performanceMeasure.Criteria
+
 
+
actionPerformed(ActionEvent) - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
+
The listener method for receiving action events.
+
+
actionPerformed(ActionEvent) - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
The listener method for receiving action events.
+
+
actionPerformed(ActionEvent) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
The listener method for receiving action events.
+
+
actionPerformed(ActionEvent) - Method in class unifeat.gui.MainPanel.EventHandler
+
+
The listener method for receiving action events.
+
+
actionPerformed(ActionEvent) - Method in class unifeat.gui.menu.DiagramPanel
+
+
The listener method for receiving action events.
+
+
actionPerformed(ActionEvent) - Method in class unifeat.gui.menu.FriedmanPanel
+
+
The listener method for receiving action events.
+
+
actionPerformed(ActionEvent) - Method in class unifeat.gui.menu.PreprocessPanel
+
+
The listener method for receiving action events.
+
+
actionPerformed(ActionEvent) - Method in class unifeat.gui.menu.selectMode.SelectModePanel
+
+
The listener method for receiving action events.
+
+
actionPerformed(ActionEvent) - Method in class unifeat.gui.ParameterPanel
+
+
The listener method for receiving action events.
+
+
actionPerformed(ActionEvent) - Method in class unifeat.gui.ProjectPath
+
+
The listener method for receiving action events.
+
+
actionPerformed(ActionEvent) - Method in class unifeat.gui.ResultPanel
+
+
The listener method for receiving action events.
+
+
addComponents(TreeType) - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
This method adds components to the main panel based on type of the tree
+
+
addFeature(int) - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicAnt
+
+
This method adds a specific feature to the current selected feature + subset by the ant.
+
+
addTextToPanel() - Method in class unifeat.result.Results
+
+
This method creates the given text for showing in the results panel.
+ The text is about some information of the dataset.
+
+
addTextToPanel(double[][], String) - Method in class unifeat.result.Results
+
+
This method creates the given text for showing in the results panel.
+ The text is about the classification accuracy and execution time in each + iteration.
+
+
addTextToPanel(double[][], String, boolean) - Method in class unifeat.result.Results
+
+
This method creates the given text for showing in the results panel.
+ The text is about the average classification accuracies and average + execution times in all iteration.
+
+
addTextToPanel(double[], String) - Method in class unifeat.result.Results
+
+
This method creates the given text for showing in the results panel.
+ The text is about the relevance values of features computed by given + feature selection method.
+
+
addTextToPanel(int[]) - Method in class unifeat.result.Results
+
+
This method creates the given text for showing in the results panel.
+ The text is about the subset of selected features.
+
+
addTextToPanel(String[][], String) - Method in class unifeat.result.Results
+
+
This method creates the given text for showing in the results panel.
+ The text is about the final subsets of selected features.
+
+
allData - Variable in class unifeat.dataset.DatasetInfo
+
 
+
allNameFeatures - Variable in class unifeat.dataset.DatasetInfo
+
 
+
alpha - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
alpha - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
alpha - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
alpha - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.HPSO_LSPanel
+
 
+
alpha - Variable in class unifeat.gui.MainPanel
+
 
+
ALPHA - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
 
+
ALPHA - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_2
+
 
+
ALPHA - Static variable in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicColony
+
 
+
ALPHA - Static variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS.Swarm
+
 
+
analyse - Variable in class unifeat.gui.MainPanel
+
 
+
Ant - Class in unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO
+
+
This java class is used to represent an ant in optimal ant colony + optimization (Optimal ACO) method.
+
+
Ant() - Constructor for class unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO.Ant
+
+
Initializes the parameters
+
+
antPerformValues - Variable in class unifeat.featureSelection.filter.unsupervised.MGSACO
+
 
+
antSubsetSelected - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_1
+
 
+
antSubsetSelected - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
 
+
antSubsetSelected - Variable in class unifeat.featureSelection.filter.unsupervised.MGSACO
+
 
+
ArraysFunc - Class in unifeat.util
+
+
This java class is used to implement various utility methods for manipulating + arrays and matrices.
+
+
ArraysFunc() - Constructor for class unifeat.util.ArraysFunc
+
 
+
asList() - Static method in class unifeat.classifier.ClassifierType
+
+
Returns the names of classifiers
+
+
asList() - Static method in class unifeat.featureSelection.embedded.EmbeddedType
+
+
Returns the names of embedded-based feature selection methods
+
+
asList() - Static method in class unifeat.featureSelection.filter.NonWeightedFilterType
+
+
Returns the names of filter-based feature selection methods that are not + feature weighting
+
+
asList() - Static method in class unifeat.featureSelection.filter.supervised.SupervisedFilterType
+
+
Returns the names of supervised filter-based feature selection methods
+
+
asList() - Static method in class unifeat.featureSelection.filter.unsupervised.UnsupervisedFilterType
+
+
Returns the names of unsupervised filter-based feature selection methods
+
+
asList() - Static method in class unifeat.featureSelection.filter.WeightedFilterType
+
+
Returns the names of weighted filter-based feature selection methods
+
+
asList() - Static method in class unifeat.featureSelection.hybrid.HybridType
+
+
Returns the names of hybrid-based feature selection methods
+
+
asList() - Static method in class unifeat.featureSelection.wrapper.WrapperType
+
+
Returns the names of wrapper-based feature selection methods
+
+
asList() - Static method in class unifeat.gui.classifier.svmClassifier.SVMKernelType
+
+
Returns the names of kernel
+
+
asList() - Static method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.TreeType
+
+
Returns the names of different tree
+
+
asList() - Static method in class unifeat.gui.featureSelection.filter.rsm.MultivariateMethodType
+
+
Returns the names of multivariate method
+
+
asList() - Static method in class unifeat.gui.featureSelection.wrapper.GABased.CrossOverType
+
+
Returns the names of different crossover
+
+
asList() - Static method in class unifeat.gui.featureSelection.wrapper.GABased.MutationType
+
+
Returns the names of different mutation
+
+
asList() - Static method in class unifeat.gui.featureSelection.wrapper.GABased.ReplacementType
+
+
Returns the names of different replacement
+
+
asList() - Static method in class unifeat.gui.featureSelection.wrapper.GABased.SelectionType
+
+
Returns the names of different selection
+
+
asList() - Static method in class unifeat.gui.menu.selectMode.SelectModeType
+
+
Returns the names of select mode
+
+
asList() - Static method in class unifeat.result.ResultType
+
+
Returns the names of result
+
+
AVERAGE - Static variable in class unifeat.gui.menu.selectMode.SelectModeType
+
 
+
averageValues - Variable in class unifeat.result.performanceMeasure.PerformanceMeasures
+
 
+
axisValues - Variable in class unifeat.gui.menu.DiagramPanel
+
 
+
+

B

+
+
BasicACO<ColonyType> - Class in unifeat.featureSelection.wrapper.ACOBasedMethods
+
+
The abstract class contains the main methods and fields that are used in all + ACO-based feature selection methods.
+
+
BasicACO(Object...) - Constructor for class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicACO
+
+
Initializes the parameters
+
+
BasicACOPanel - Class in unifeat.gui.featureSelection.wrapper.ACOBased
+
+
This java class is used to create and show a panel for the parameter settings + of the basic ant colony optimization (BasicACO) method.
+
+
BasicACOPanel() - Constructor for class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
+
Creates new form BasicACOPanel.
+
+
BasicAnt - Class in unifeat.featureSelection.wrapper.ACOBasedMethods
+
+
The abstract class contains the main methods and fields that are used in all + ACO-based feature selection methods.
+
+
BasicAnt() - Constructor for class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicAnt
+
+
Initializes the parameters
+
+
BasicColony<AntType> - Class in unifeat.featureSelection.wrapper.ACOBasedMethods
+
+
The abstract class contains the main methods and fields that are used in all + ACO-based feature selection methods.
+
+
BasicColony(Class<AntType>) - Constructor for class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicColony
+
+
Initializes the parameters
+
+
BasicGA<PopulationType> - Class in unifeat.featureSelection.wrapper.GABasedMethods
+
+
The abstract class contains the main methods and fields that are used in all + GA-based feature selection methods.
+
+
BasicGA(Object...) - Constructor for class unifeat.featureSelection.wrapper.GABasedMethods.BasicGA
+
+
Initializes the parameters
+
+
BasicGAPanel - Class in unifeat.gui.featureSelection.wrapper.GABased
+
+
This java class is used to create and show a panel for the parameter settings + of the basic genetic algorithm (BasicGA) method.
+
+
BasicGAPanel() - Constructor for class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
Creates new form BasicGAPanel.
+
+
BasicGraphRepresentation - Class in unifeat.featureSelection.wrapper.ACOBasedMethods
+
+
The abstract class contains the main methods and fields that are used to + represent discrete search space as a graph in ACO algorithm.
+
+
BasicGraphRepresentation(int, int) - Constructor for class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicGraphRepresentation
+
+
Initializes the parameters
+
+
BasicIndividual<GeneType> - Class in unifeat.featureSelection.wrapper.GABasedMethods
+
+
The abstract class contains the main methods and fields that are used in all + GA-based feature selection methods.
+
+
BasicIndividual(Class<GeneType>, Integer) - Constructor for class unifeat.featureSelection.wrapper.GABasedMethods.BasicIndividual
+
+
Initializes the parameters
+
+
BasicParticle<PosType,VelType> - Class in unifeat.featureSelection.wrapper.PSOBasedMethods
+
+
The abstract class contains the main methods and fields that are used in all + PSO-based feature selection methods.
+
+
BasicParticle(Class<PosType>, Class<VelType>, Integer) - Constructor for class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicParticle
+
+
Initializes the parameters
+
+
BasicPopulation<IndividualType> - Class in unifeat.featureSelection.wrapper.GABasedMethods
+
+
The abstract class contains the main methods and fields that are used in all + GA-based feature selection methods.
+
+
BasicPopulation(Class<IndividualType>) - Constructor for class unifeat.featureSelection.wrapper.GABasedMethods.BasicPopulation
+
+
Initializes the parameters
+
+
BasicPSO<SwarmType> - Class in unifeat.featureSelection.wrapper.PSOBasedMethods
+
+
The abstract class contains the main methods and fields that are used in all + PSO-based feature selection methods.
+
+
BasicPSO(Object...) - Constructor for class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicPSO
+
+
Initializes the parameters
+
+
BasicPSOPanel - Class in unifeat.gui.featureSelection.wrapper.PSOBased
+
+
This java class is used to create and show a panel for the parameter settings + of the basic particle swarm optimization (BasicPSO) method.
+
+
BasicPSOPanel() - Constructor for class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
Creates new form BasicPSOPanel.
+
+
BasicSwarm<PosType,ParType> - Class in unifeat.featureSelection.wrapper.PSOBasedMethods
+
+
The abstract class contains the main methods and fields that are used in all + PSO-based feature selection methods.
+
+
BasicSwarm(Class<PosType>, Class<ParType>) - Constructor for class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicSwarm
+
+
Initializes the parameters
+
+
beta - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
beta - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
beta - Variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
beta - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
beta - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
beta - Variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
beta - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
beta - Variable in class unifeat.gui.MainPanel
+
 
+
BETA - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_1
+
 
+
BETA - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
 
+
BETA - Variable in class unifeat.featureSelection.filter.unsupervised.MGSACO
+
 
+
BETA - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_1
+
 
+
BETA - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_2
+
 
+
BETA - Variable in class unifeat.featureSelection.filter.unsupervised.UFSACO
+
 
+
BETA - Static variable in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicColony
+
 
+
bg_dataset - Variable in class unifeat.gui.MainPanel
+
 
+
bg_mode - Variable in class unifeat.gui.menu.selectMode.SelectModePanel
+
 
+
BITWISE_MUTATION - Static variable in class unifeat.gui.featureSelection.wrapper.GABased.MutationType
+
 
+
bitwiseMutation(boolean[], double) - Static method in class unifeat.featureSelection.wrapper.GABasedMethods.MutationOperator
+
+
Mutates new offsprings by changing the value of some genes in them using + bitwise mutation
+
+
bitwiseMutation(Boolean[], double) - Static method in class unifeat.featureSelection.wrapper.GABasedMethods.MutationOperator
+
+
Mutates new offsprings by changing the value of some genes in them using + bitwise mutation
+
+
BPSO - Class in unifeat.featureSelection.wrapper.PSOBasedMethods.BPSO
+
+
This java class is used to implement feature selection method based on binary + particle swarm optimization (BPSO) in which the type of Swarm is extended + from Swarm class.
+
+
BPSO - Static variable in class unifeat.featureSelection.wrapper.WrapperType
+
 
+
BPSO(Object...) - Constructor for class unifeat.featureSelection.wrapper.PSOBasedMethods.BPSO.BPSO
+
+
Initializes the parameters
+
+
bpsoFeatSelectionPanel - Variable in class unifeat.gui.MainPanel
+
 
+
BPSOPanel - Class in unifeat.gui.featureSelection.wrapper.PSOBased
+
+
This java class is used to create and show a panel for the parameter settings + of the binary particle swarm optimization (BPSO) method.
+
+
BPSOPanel() - Constructor for class unifeat.gui.featureSelection.wrapper.PSOBased.BPSOPanel
+
+
Creates new form BPSOPanel.
+
+
btn_browse - Variable in class unifeat.gui.ProjectPath
+
 
+
btn_browseActionPerformed(ActionEvent) - Method in class unifeat.gui.ProjectPath
+
+
This method sets an action for the btn_browse button.
+
+
btn_classifierType - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
btn_classifierType - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
btn_classifierType - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
btn_classLabel - Variable in class unifeat.gui.MainPanel
+
 
+
btn_classLabelActionPerformed(ActionEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the btn_classLabel button.
+
+
btn_classlbl - Variable in class unifeat.gui.MainPanel
+
 
+
btn_classlblActionPerformed(ActionEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the btn_classlbl button.
+
+
btn_close - Variable in class unifeat.gui.menu.PreprocessPanel
+
 
+
btn_closeActionPerformed(ActionEvent) - Method in class unifeat.gui.menu.PreprocessPanel
+
+
This method sets an action for the btn_close button.
+
+
btn_exit - Variable in class unifeat.gui.MainPanel
+
 
+
btn_exit - Variable in class unifeat.gui.ResultPanel
+
 
+
btn_exitActionPerformed(ActionEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the btn_exit button.
+
+
btn_exitActionPerformed(ActionEvent) - Method in class unifeat.gui.ResultPanel
+
+
This method sets an action for the btn_exit button.
+
+
btn_inputdst - Variable in class unifeat.gui.MainPanel
+
 
+
btn_inputdstActionPerformed(ActionEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the btn_inputdst button.
+
+
btn_more - Variable in class unifeat.gui.ParameterPanel
+
 
+
btn_moreActionPerformed(ActionEvent) - Method in class unifeat.gui.ParameterPanel
+
+
This method sets an action for the btn_more button.
+
+
btn_moreOpClassifier - Variable in class unifeat.gui.MainPanel
+
 
+
btn_moreOpClassifierActionPerformed(ActionEvent) - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
+
This method sets an action for the btn_moreOpClassifier button.
+
+
btn_moreOpClassifierActionPerformed(ActionEvent) - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method sets an action for the btn_moreOpClassifier button.
+
+
btn_moreOpClassifierActionPerformed(ActionEvent) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
This method sets an action for the btn_moreOpClassifier button.
+
+
btn_moreOpClassifierActionPerformed(ActionEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the btn_moreOpClassifier button.
+
+
btn_moreOpEmbedded - Variable in class unifeat.gui.MainPanel
+
 
+
btn_moreOpEmbeddedActionPerformed(ActionEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the btn_moreOpEmbedded button.
+
+
btn_moreOpFilter - Variable in class unifeat.gui.MainPanel
+
 
+
btn_moreOpFilterActionPerformed(ActionEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the btn_moreOpFilter button.
+
+
btn_moreOpHybrid - Variable in class unifeat.gui.MainPanel
+
 
+
btn_moreOpHybridActionPerformed(ActionEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the btn_moreOpHybrid button.
+
+
btn_moreOpWrapper - Variable in class unifeat.gui.MainPanel
+
 
+
btn_moreOpWrapperActionPerformed(ActionEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the btn_moreOpWrapper button.
+
+
btn_ok - Variable in class unifeat.gui.menu.selectMode.SelectModePanel
+
 
+
btn_ok - Variable in class unifeat.gui.ParameterPanel
+
 
+
btn_okActionPerformed(ActionEvent) - Method in class unifeat.gui.classifier.DTClassifierPanel
+
+
This method sets an action for the btn_ok button.
+
+
btn_okActionPerformed(ActionEvent) - Method in class unifeat.gui.classifier.KNNClassifierPanel
+
+
This method sets an action for the btn_ok button.
+
+
btn_okActionPerformed(ActionEvent) - Method in class unifeat.gui.classifier.svmClassifier.SVMClassifierPanel
+
+
This method sets an action for the btn_ok button.
+
+
btn_okActionPerformed(ActionEvent) - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
This method sets an action for the btn_ok button.
+
+
btn_okActionPerformed(ActionEvent) - Method in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
+
This method sets an action for the btn_ok button.
+
+
btn_okActionPerformed(ActionEvent) - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
+
This method sets an action for the btn_ok button.
+
+
btn_okActionPerformed(ActionEvent) - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
+
This method sets an action for the btn_ok button.
+
+
btn_okActionPerformed(ActionEvent) - Method in class unifeat.gui.featureSelection.filter.LaplacianScorePanel
+
+
This method sets an action for the btn_ok button.
+
+
btn_okActionPerformed(ActionEvent) - Method in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
+
This method sets an action for the btn_ok button.
+
+
btn_okActionPerformed(ActionEvent) - Method in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
+
This method sets an action for the btn_ok button.
+
+
btn_okActionPerformed(ActionEvent) - Method in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
+
This method sets an action for the btn_ok button.
+
+
btn_okActionPerformed(ActionEvent) - Method in class unifeat.gui.featureSelection.filter.RRFSPanel
+
+
This method sets an action for the btn_ok button.
+
+
btn_okActionPerformed(ActionEvent) - Method in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
+
This method sets an action for the btn_ok button.
+
+
btn_okActionPerformed(ActionEvent) - Method in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
+
This method sets an action for the btn_ok button.
+
+
btn_okActionPerformed(ActionEvent) - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
+
This method sets an action for the btn_ok button.
+
+
btn_okActionPerformed(ActionEvent) - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.OptimalACOPanel
+
+
This method sets an action for the btn_ok button.
+
+
btn_okActionPerformed(ActionEvent) - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method sets an action for the btn_ok button.
+
+
btn_okActionPerformed(ActionEvent) - Method in class unifeat.gui.featureSelection.wrapper.GABased.HGAFSPanel
+
+
This method sets an action for the btn_ok button.
+
+
btn_okActionPerformed(ActionEvent) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
This method sets an action for the btn_ok button.
+
+
btn_okActionPerformed(ActionEvent) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.CPSOPanel
+
+
This method sets an action for the btn_ok button.
+
+
btn_okActionPerformed(ActionEvent) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.HPSO_LSPanel
+
+
This method sets an action for the btn_ok button.
+
+
btn_okActionPerformed(ActionEvent) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.PSO42Panel
+
+
This method sets an action for the btn_ok button.
+
+
btn_okActionPerformed(ActionEvent) - Method in class unifeat.gui.menu.selectMode.SelectModePanel
+
+
This method sets an action for the btn_ok button.
+
+
btn_okActionPerformed(ActionEvent) - Method in class unifeat.gui.ParameterPanel
+
+
This method sets an action for the btn_ok button.
+
+
btn_open - Variable in class unifeat.gui.menu.FriedmanPanel
+
 
+
btn_openActionPerformed(ActionEvent) - Method in class unifeat.gui.menu.FriedmanPanel
+
+
This method sets an action for the btn_open button.
+
+
btn_performTest - Variable in class unifeat.gui.menu.FriedmanPanel
+
 
+
btn_performTestActionPerformed(ActionEvent) - Method in class unifeat.gui.menu.FriedmanPanel
+
+
This method sets an action for the btn_performTest button.
+
+
btn_save - Variable in class unifeat.gui.menu.PreprocessPanel
+
 
+
btn_saveActionPerformed(ActionEvent) - Method in class unifeat.gui.menu.PreprocessPanel
+
+
This method sets an action for the btn_save button.
+
+
btn_saveRes - Variable in class unifeat.gui.ResultPanel
+
 
+
btn_saveResActionPerformed(ActionEvent) - Method in class unifeat.gui.ResultPanel
+
+
This method sets an action for the btn_saveRes button.
+
+
btn_select - Variable in class unifeat.gui.ProjectPath
+
 
+
btn_selectActionPerformed(ActionEvent) - Method in class unifeat.gui.ProjectPath
+
+
This method sets an action for the btn_select button.
+
+
btn_selectFile - Variable in class unifeat.gui.menu.PreprocessPanel
+
 
+
btn_selectFileActionPerformed(ActionEvent) - Method in class unifeat.gui.menu.PreprocessPanel
+
+
This method sets an action for the btn_selectFile button.
+
+
btn_showDir - Variable in class unifeat.gui.ResultPanel
+
 
+
btn_showDirActionPerformed(ActionEvent) - Method in class unifeat.gui.ResultPanel
+
+
This method sets an action for the btn_showDir button.
+
+
btn_showFeat - Variable in class unifeat.gui.ResultPanel
+
 
+
btn_showFeatActionPerformed(ActionEvent) - Method in class unifeat.gui.ResultPanel
+
+
This method sets an action for the btn_showFeat button.
+
+
btn_start - Variable in class unifeat.gui.MainPanel
+
 
+
btn_startActionPerformed(ActionEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the btn_start button.
+
+
btn_testSet - Variable in class unifeat.gui.MainPanel
+
 
+
btn_testSetActionPerformed(ActionEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the btn_testSet button.
+
+
btn_trainSet - Variable in class unifeat.gui.MainPanel
+
 
+
btn_trainSetActionPerformed(ActionEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the btn_trainSet button.
+
+
btnGroup - Variable in class unifeat.gui.menu.PreprocessPanel
+
 
+
buildClassifier(Instances) - Method in class unifeat.featureSelection.embedded.TreeBasedMethods.DecisionTreeBasedMethod
+
+
Generates a classifier using input data
+
+
buildClassifier(Instances) - Method in class unifeat.featureSelection.embedded.TreeBasedMethods.RandomForestMethod
+
+
Generates a classifier using input data
+
+
buildClassifier(Instances) - Method in class unifeat.featureSelection.embedded.TreeBasedMethods.TreeBasedMethods
+
+
Generates a classifier using input data
+
+
buildSVM_KFoldCrossValidation(int[]) - Method in class unifeat.featureSelection.embedded.SVMBasedMethods.MSVM_RFE
+
+
Generates binary classifiers (SVM by applying k-fold cross validation + resampling strategy) using input data and based on selected feature + subset.
+
+
buildSVM_OneAgainstOne(int[]) - Method in class unifeat.featureSelection.embedded.SVMBasedMethods.SVMBasedMethods
+
+
Generates binary classifiers (SVM) using input data and based on selected + feature subset, and finally returns the weights of features.
+
+
buildSVM_OneAgainstRest(int[]) - Method in class unifeat.featureSelection.embedded.SVMBasedMethods.SVMBasedMethods
+
+
Generates binary classifiers (SVM) using input data and based on selected + feature subset, and finally returns the weights of features.
+
+
+

C

+
+
c1 - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
C1 - Static variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicSwarm
+
 
+
c2 - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
C2 - Static variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicSwarm
+
 
+
C45 - Static variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.TreeType
+
 
+
C45_MORE_BUTTON_POSITION - Static variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
C45_MORE_OPTION - Static variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
C45_OK_BUTTON_POSITION - Static variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
C45_PANEL_SIZE - Static variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
cb_classifier - Variable in class unifeat.gui.MainPanel
+
 
+
cb_classifierItemStateChanged(ItemEvent) - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
+
This method sets an action for the cb_classifier combo box.
+
+
cb_classifierItemStateChanged(ItemEvent) - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method sets an action for the cb_classifier combo box.
+
+
cb_classifierItemStateChanged(ItemEvent) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
This method sets an action for the cb_classifier combo box.
+
+
cb_classifierItemStateChanged(ItemEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the cb_classifier combo box.
+
+
cb_classifierType - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
cb_classifierType - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
cb_classifierType - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
cb_crossoverType - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
cb_crossoverTypeItemStateChanged(ItemEvent) - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method sets an action for the cb_crossoverType combo box.
+
+
cb_embedded - Variable in class unifeat.gui.MainPanel
+
 
+
cb_embeddedItemStateChanged(ItemEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the cb_embedded combo box.
+
+
cb_hybrid - Variable in class unifeat.gui.MainPanel
+
 
+
cb_hybridItemStateChanged(ItemEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the cb_hybrid combo box.
+
+
cb_kernel - Variable in class unifeat.gui.classifier.svmClassifier.SVMClassifierPanel
+
 
+
cb_kernel - Variable in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
 
+
cb_multivalMethod - Variable in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
 
+
cb_mutationType - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
cb_mutationTypeItemStateChanged(ItemEvent) - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method sets an action for the cb_mutationType combo box.
+
+
cb_replacementType - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
cb_replacementTypeItemStateChanged(ItemEvent) - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method sets an action for the cb_replacementType combo box.
+
+
cb_selectionType - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
cb_selectionTypeItemStateChanged(ItemEvent) - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method sets an action for the cb_selectionType combo box.
+
+
cb_start - Variable in class unifeat.gui.MainPanel
+
 
+
cb_startItemStateChanged(ItemEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the cb_start combo box.
+
+
cb_supervised - Variable in class unifeat.gui.MainPanel
+
 
+
cb_supervisedItemStateChanged(ItemEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the cb_supervised combo box.
+
+
cb_treeType - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
cb_unsupervised - Variable in class unifeat.gui.MainPanel
+
 
+
cb_unsupervisedItemStateChanged(ItemEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the cb_unsupervised combo box.
+
+
cb_worthOfVal - Variable in class unifeat.gui.menu.FriedmanPanel
+
 
+
cb_wrapper - Variable in class unifeat.gui.MainPanel
+
 
+
cb_wrapperItemStateChanged(ItemEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the cb_wrapper combo box.
+
+
ch_convert - Variable in class unifeat.gui.menu.PreprocessPanel
+
 
+
ch_transpose - Variable in class unifeat.gui.menu.PreprocessPanel
+
 
+
changeDefaultValue(int, int, double, double, double, double, double, double, double, int) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
Replaces the default values of basic PSO parameters with user values
+
+
changeDefaultValue(int, int, double, double, double, int) - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
+
Replaces the default values of basic ACO parameters with user values
+
+
changeDefaultValue(SelectionType, CrossOverType, MutationType, ReplacementType, int, int, double, double, int) - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
Replaces the default values of basic GA parameters with user values
+
+
checkClassLabels - Variable in class unifeat.dataset.DatasetInfo
+
 
+
checkDataSet - Variable in class unifeat.dataset.DatasetInfo
+
 
+
checkSamplesClass - Variable in class unifeat.dataset.DatasetInfo
+
 
+
checkTrainTestSet - Variable in class unifeat.dataset.DatasetInfo
+
 
+
classifierType - Variable in class unifeat.featureSelection.FitnessEvaluator
+
 
+
classifierType - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
classifierType - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
classifierType - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
classifierType - Variable in class unifeat.result.Results
+
 
+
ClassifierType - Class in unifeat.classifier
+
+
This java class is used to define the names of classifiers.
+
+
ClassifierType(String) - Constructor for class unifeat.classifier.ClassifierType
+
+
Creates new ClassifierType.
+
+
ClassifierType(String, int) - Constructor for class unifeat.classifier.ClassifierType
+
+
Creates new ClassifierType.
+
+
classLabel - Variable in class unifeat.featureSelection.embedded.EmbeddedApproach
+
 
+
classLabel - Variable in class unifeat.featureSelection.FitnessEvaluator
+
 
+
classLabel - Variable in class unifeat.featureSelection.wrapper.WrapperApproach
+
 
+
Classlabel - Variable in class unifeat.dataset.DatasetInfo
+
 
+
classLabelInTrainSet - Variable in class unifeat.featureSelection.embedded.SVMBasedMethods.SVMBasedMethods
+
 
+
colony - Variable in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicACO
+
 
+
colony - Variable in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicColony
+
 
+
Colony - Class in unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO
+
+
This java class is used to implement a colony of ants in optimal ant colony + optimization (Optimal ACO) method in which the type of ant is extended from + Ant class.
+
+
Colony(double) - Constructor for class unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO.Colony
+
+
Initializes the parameters
+
+
COLONY_SIZE - Static variable in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicColony
+
 
+
colonySize - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
COLOR_SET - Variable in class unifeat.gui.menu.DiagramPanel
+
 
+
columnModel - Variable in class unifeat.gui.menu.FriedmanPanel
+
 
+
commonAsList() - Static method in class unifeat.gui.featureSelection.wrapper.GABased.CrossOverType
+
+
Returns the common names of different crossover
+
+
commonAsList() - Static method in class unifeat.gui.featureSelection.wrapper.GABased.MutationType
+
+
Returns the common names of different mutation
+
+
commonAsList() - Static method in class unifeat.gui.featureSelection.wrapper.GABased.ReplacementType
+
+
Returns the common names of different replacement
+
+
commonAsList() - Static method in class unifeat.gui.featureSelection.wrapper.GABased.SelectionType
+
+
Returns the common names of different selection
+
+
computeAverageArray(double[][]) - Static method in class unifeat.util.MathFunc
+
+
Calculates the average values of all columns
+
+
computeAverageValues() - Method in class unifeat.result.performanceMeasure.PerformanceMeasures
+
+
Computes the average values of all criteria over number of runs
+
+
computeAverageValuesOfPerformanceMeasures() - Method in class unifeat.result.Results
+
+
Computes the average values of all criteria over number of runs
+
+
computeCorrelation() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.Population
+
+
This method computes the correlation of each feature to other features.
+
+
computeCorrelation() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS.Swarm
+
+
This method computes the correlation of each feature to other features.
+
+
computeDifferentValue(int) - Method in class unifeat.featureSelection.filter.supervised.MRMR
+
+
Saves the different values of each feature
+
+
computeEntropy(int, int) - Method in class unifeat.featureSelection.filter.supervised.InformationGain
+
+
Computes the entropy of the data given by start and end indices
+
+
computeEntropy(int, int) - Method in class unifeat.featureSelection.filter.supervised.SymmetricalUncertainty
+
+
Computes the entropy of the data given by start and end indices
+
+
computeErrorRate(double[][]) - Static method in class unifeat.util.MathFunc
+
+
Calculates the error rate values based on the array of accuracies
+
+
computeGini(int, int) - Method in class unifeat.featureSelection.filter.supervised.GiniIndex
+
+
Computes the gini value of the data given by start and end indices
+
+
computeJointProb(int, int, int) - Method in class unifeat.featureSelection.filter.supervised.MRMR
+
+
Computes the joint probabilities values between two features
+
+
computeMAD(int, double) - Method in class unifeat.featureSelection.filter.unsupervised.RRFS
+
+
Computes the mean absolute difference(MAD) values of the features
+
+
computeMean(double[][], int) - Static method in class unifeat.util.MathFunc
+
+
Computes the mean value of the data corresponding to a given column + (column index)
+
+
computeMutualCorrelation(int, int, double, double) - Method in class unifeat.featureSelection.filter.unsupervised.MutualCorrelation
+
+
Computes the mutual correlation value between each pairs of features
+
+
computeMutualInfo(int, int) - Method in class unifeat.featureSelection.filter.supervised.MRMR
+
+
Computes the mutual information values between two features
+
+
computeNumValue(int) - Method in class unifeat.featureSelection.filter.supervised.MRMR
+
+
Computes the number of different values of each feature
+
+
computePearsonCorCoef(double[][], int, int) - Static method in class unifeat.util.MathFunc
+
+
Computes the correlation value between two features using Pearson + correlation coefficient
+
+
computePerformanceMeasures(int, int) - Method in class unifeat.result.Results
+
+
Computes the performance measures based on given classifier
+
+
computeProbFeat(int) - Method in class unifeat.featureSelection.filter.supervised.MRMR
+
+
Computes the probabilities values of each feature
+
+
computeRelevance() - Method in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_1
+
+
Computes the relevance of each feature using the normalized term variance + (the relevance values normalized by softmax scaling function)
+
+
computeRelevance() - Method in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
+
Computes the relevance of each feature using the normalized term variance + (the relevance values normalized by softmax scaling function)
+
+
computeRelevance() - Method in class unifeat.featureSelection.filter.unsupervised.MGSACO
+
+
Computes the relevance of each feature using the normalized term variance + (the relevance values normalized by softmax scaling function)
+
+
computeRelevance() - Method in class unifeat.featureSelection.filter.unsupervised.RRFSACO_1
+
+
Computes the relevance of each feature using the normalized term variance + (the relevance values normalized by softmax scaling function)
+
+
computeRelevance() - Method in class unifeat.featureSelection.filter.unsupervised.RRFSACO_2
+
+
Computes the relevance of each feature using the normalized term variance + (the relevance values normalized by softmax scaling function)
+
+
computeSimilarity(double[][], int, int) - Static method in class unifeat.util.MathFunc
+
+
Computes the similarity value between two features using cosine + similarity
+
+
computeStandardDeviation(double[][], double, int, double) - Static method in class unifeat.util.MathFunc
+
+
Computes the standard deviation value of the data corresponding to a + given column (column index) based on a specific denominator value
+
+
computeVariance(double[][], double, int) - Static method in class unifeat.util.MathFunc
+
+
Computes the variance value of the data corresponding to a given column + (column index)
+
+
computeVariance(double[][], double, int, double) - Static method in class unifeat.util.MathFunc
+
+
Computes the variance value of the data corresponding to a given column + (column index) based on a specific denominator value
+
+
confidence - Variable in class unifeat.gui.classifier.DTClassifierPanel
+
 
+
confidence - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
confidence - Variable in class unifeat.gui.MainPanel
+
 
+
confidenceValue - Variable in class unifeat.featureSelection.embedded.TreeBasedMethods.DecisionTreeBasedMethod
+
 
+
CONSTANT_VALUE - Variable in class unifeat.featureSelection.filter.supervised.LaplacianScore
+
 
+
CONSTANT_VALUE - Variable in class unifeat.featureSelection.filter.unsupervised.LaplacianScore
+
 
+
constantSubsetSize - Variable in class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.Population
+
 
+
constantSubsetSize - Variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS.Swarm
+
 
+
constParam - Variable in class unifeat.gui.featureSelection.filter.LaplacianScorePanel
+
 
+
constParam - Variable in class unifeat.gui.MainPanel
+
 
+
constructDiagonalMatrix(double[][]) - Method in class unifeat.featureSelection.filter.supervised.LaplacianScore
+
+
Constructs the diagonal matrix (D) based on the weight matrix
+
+
constructDiagonalMatrix(double[][]) - Method in class unifeat.featureSelection.filter.unsupervised.LaplacianScore
+
+
Constructs the diagonal matrix (D) based on the weight matrix
+
+
constructNeighborGraph() - Method in class unifeat.featureSelection.filter.supervised.LaplacianScore
+
+
Constructs nearest neighbor graph (G) of the data space
+
+
constructNeighborGraph() - Method in class unifeat.featureSelection.filter.unsupervised.LaplacianScore
+
+
Constructs nearest neighbor graph (G) of the data space
+
+
constructSolution() - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicColony
+
+
This method constructs solutions completely of each ant in the colony by + applying state transition rule repeatedly.
+
+
constructSolution() - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO.Colony
+
+
This method constructs solutions completely of each ant in the colony by + applying state transition rule repeatedly.
+
+
constructWeightMatrix(boolean[][]) - Method in class unifeat.featureSelection.filter.supervised.LaplacianScore
+
+
Constructs weight matrix(S) which models the local structure of the data space
+
+
constructWeightMatrix(boolean[][]) - Method in class unifeat.featureSelection.filter.unsupervised.LaplacianScore
+
+
Constructs weight matrix(S) which models the local structure of the data + space
+
+
convertArrayListToInt(ArrayList<Integer>) - Static method in class unifeat.util.ArraysFunc
+
+
Converts the ArrayList type to an array of integer values
+
+
convertCSVtoARFF(String, String, String, int, int, String[], int, String[]) - Static method in class unifeat.util.FileFunc
+
+
This method converts CSV file to ARFF file for the Weka Software
+
+
convertCSVtoARFF(String, String, String, int, DatasetInfo) - Static method in class unifeat.util.FileFunc
+
+
This method converts CSV file to ARFF file for the Weka Software
+
+
convertStringToDouble(String[][]) - Static method in class unifeat.util.ArraysFunc
+
+
Converts the string input to double values
+
+
copyDoubleArray2D(double[][]) - Static method in class unifeat.util.ArraysFunc
+
+
Creates a copy of the two dimensional array
+
+
copyDoubleArray2D(double[][], int, int) - Static method in class unifeat.util.ArraysFunc
+
+
Creates a copy of the two dimensional array by using the indices of rows
+
+
Counter() - Constructor for class unifeat.gui.MainPanel.Counter
+
 
+
countSteps - Variable in class unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO.Ant
+
+
Counts number of successive steps that an ant is not able to decrease the + classification error rate
+
+
CPSO - Class in unifeat.featureSelection.wrapper.PSOBasedMethods.CPSO
+
+
This java class is used to implement feature selection method based on + continuous particle swarm optimization (CPSO) in which the type of Swarm is + extended from Swarm class.
+
+
CPSO - Static variable in class unifeat.featureSelection.wrapper.WrapperType
+
 
+
CPSO(Object...) - Constructor for class unifeat.featureSelection.wrapper.PSOBasedMethods.CPSO.CPSO
+
+
Initializes the parameters
+
+
cpsoFeatSelectionPanel - Variable in class unifeat.gui.MainPanel
+
 
+
CPSOPanel - Class in unifeat.gui.featureSelection.wrapper.PSOBased
+
+
This java class is used to create and show a panel for the parameter settings + of the continuous particle swarm optimization (CPSO) method.
+
+
CPSOPanel() - Constructor for class unifeat.gui.featureSelection.wrapper.PSOBased.CPSOPanel
+
+
Creates new form CPSOPanel.
+
+
createAndShow() - Method in class unifeat.gui.MainPanel
+
+
This method create and show the main panel of the project
+
+
createClassLabel() - Method in class unifeat.featureSelection.embedded.SVMBasedMethods.SVMBasedMethods
+
+
Creates an array of class labels available in the train set
+
+
createCSVFile(double[][], int[], String, String[], String[]) - Static method in class unifeat.util.FileFunc
+
+
This method creates a CSV (Comma delimited) file of the input data
+
+
createDirectory(String) - Static method in class unifeat.util.FileFunc
+
+
This method creates a new directory denoted by pathname
+
+
createFeatNames(int[]) - Method in class unifeat.dataset.DatasetInfo
+
+
This method creates a string of the names of features in the selected + feature array
+
+
createFeatureFiles() - Method in class unifeat.result.Results
+
+
This method creates a text file of the subsets of selected features
+
+
createNewDataset(int[]) - Method in class unifeat.featureSelection.filter.unsupervised.RSM
+
+
Creates a new dataset based on the given indeces of the features
+
+
createSelectedFeatureSubset() - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicACO
+
+
This method creates the selected feature subset based on the best ant in + the colony.
+
+
createSelectedFeatureSubset() - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO.OptimalACO
+
+
This method creates the selected feature subset based on the best ant in + the colony.
+
+
createSelectedFeatureSubset() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.BasicGA
+
+
This method creates the selected feature subset based on the fittest + individual in the population.
+
+
createSelectedFeatureSubset() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.HGAFS
+
+
This method creates the selected feature subset based on the fittest + individual in the population.
+
+
createSelectedFeatureSubset() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA.SimpleGA
+
+
This method creates the selected feature subset based on the fittest + individual in the population.
+
+
createSelectedFeatureSubset() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicPSO
+
+
This method creates the selected feature subset based on global best + position in the swarm.
+
+
createSelectedFeatureSubset() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BPSO.BPSO
+
+
This method creates the selected feature subset based on global best + position in the swarm.
+
+
createSelectedFeatureSubset() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.CPSO.CPSO
+
+
This method creates the selected feature subset based on global best + position in the swarm.
+
+
createSelectedFeatureSubset() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS.HPSO_LS
+
+
This method creates the selected feature subset based on global best + position in the swarm.
+
+
createSelectedFeatureSubset() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42.PSO42
+
+
This method creates the selected feature subset based on global best + position in the swarm.
+
+
createTempDirectory() - Method in class unifeat.featureSelection.FitnessEvaluator
+
+
This method creates a directory based on the specific path
+
+
Criteria - Class in unifeat.result.performanceMeasure
+
+
This java class is used to set different criteria values used in the feature + selection area of research.
+
+
Criteria() - Constructor for class unifeat.result.performanceMeasure.Criteria
+
+
Initializes the parameters
+
+
CriticalValue - Class in unifeat.util
+
+
This java class is used to display various critical values of the table.
+
+
CriticalValue() - Constructor for class unifeat.util.CriticalValue
+
 
+
CROSS_OVER_RATE - Static variable in class unifeat.featureSelection.wrapper.GABasedMethods.BasicPopulation
+
 
+
CROSSOVER_TYPE - Static variable in class unifeat.featureSelection.wrapper.GABasedMethods.BasicPopulation
+
 
+
CrossoverOperator - Class in unifeat.featureSelection.wrapper.GABasedMethods
+
+
This java class is used to implement various crossover operators for + recombining the two parents to generate new offsprings
+
+
CrossoverOperator() - Constructor for class unifeat.featureSelection.wrapper.GABasedMethods.CrossoverOperator
+
 
+
crossoverRate - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
crossoverType - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
CrossOverType - Class in unifeat.gui.featureSelection.wrapper.GABased
+
+
This java class is used to define the names of different implementation of + crossover.
+
+
CrossOverType(String) - Constructor for class unifeat.gui.featureSelection.wrapper.GABased.CrossOverType
+
+
Creates new CrossOverType.
+
+
CrossOverType(String, int) - Constructor for class unifeat.gui.featureSelection.wrapper.GABased.CrossOverType
+
+
Creates new CrossOverType.
+
+
crossValidation(int[]) - Method in class unifeat.featureSelection.FitnessEvaluator
+
+
This method performs k-fold cross validation on the reduced training set + which is achieved by selected feature subset.
+
+
CrossValidation - Class in unifeat.classifier.evaluation.wekaClassifier
+
+
This java class is used to apply the classifiers for computing the + performance of the feature selection methods.
+
+
CrossValidation() - Constructor for class unifeat.classifier.evaluation.wekaClassifier.CrossValidation
+
 
+
currentExecutionTime - Variable in class unifeat.result.Results
+
 
+
currentFeatureValues - Variable in class unifeat.result.Results
+
 
+
currentSelectedSubset - Variable in class unifeat.result.Results
+
 
+
currentState - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_1
+
 
+
currentState - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
 
+
currentState - Variable in class unifeat.featureSelection.filter.unsupervised.MGSACO
+
 
+
currentState - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_1
+
 
+
currentState - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_2
+
 
+
currentState - Variable in class unifeat.featureSelection.filter.unsupervised.UFSACO
+
 
+
+

D

+
+
data - Variable in class unifeat.gui.MainPanel
+
 
+
data - Variable in class unifeat.result.Results
+
 
+
DATASET_INFORMATION - Static variable in class unifeat.result.ResultType
+
 
+
DatasetInfo - Class in unifeat.dataset
+
+
This java class is used to keep the input data, split input data to + test/train sets and crate CSV file format.
+
+
DatasetInfo() - Constructor for class unifeat.dataset.DatasetInfo
+
 
+
DECAY_RATE - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_1
+
 
+
DECAY_RATE - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
 
+
DECAY_RATE - Variable in class unifeat.featureSelection.filter.unsupervised.MGSACO
+
 
+
DECAY_RATE - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_1
+
 
+
DECAY_RATE - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_2
+
 
+
DECAY_RATE - Variable in class unifeat.featureSelection.filter.unsupervised.UFSACO
+
 
+
DECISION_TREE_BASED - Static variable in class unifeat.featureSelection.embedded.EmbeddedType
+
 
+
DecisionTreeBasedMethod - Class in unifeat.featureSelection.embedded.TreeBasedMethods
+
+
This java class is used to implement the decision tree based methods.
+
+
DecisionTreeBasedMethod(Object...) - Constructor for class unifeat.featureSelection.embedded.TreeBasedMethods.DecisionTreeBasedMethod
+
+
Initializes the parameters
+
+
DecisionTreeBasedMethod(String, double, int) - Constructor for class unifeat.featureSelection.embedded.TreeBasedMethods.DecisionTreeBasedMethod
+
+
Initializes the parameters
+
+
DecisionTreeBasedMethod(String, int, int, double, double) - Constructor for class unifeat.featureSelection.embedded.TreeBasedMethods.DecisionTreeBasedMethod
+
+
Initializes the parameters
+
+
decisionTreeBasedMethodType - Variable in class unifeat.gui.MainPanel
+
 
+
DecisionTreeBasedPanel - Class in unifeat.gui.featureSelection.embedded.decisionTreeBased
+
+
This java class is used to create and show a panel for the parameter settings + of the decision tree based method.
+
+
DecisionTreeBasedPanel() - Constructor for class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
Creates new form DecisionTreeBasedPanel.
+
+
DEFAULT_ALPHA - Static variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
DEFAULT_ALPHA - Static variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
DEFAULT_ALPHA - Static variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
DEFAULT_ALPHA - Static variable in class unifeat.gui.featureSelection.wrapper.PSOBased.HPSO_LSPanel
+
 
+
DEFAULT_BETA - Static variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
DEFAULT_BETA - Static variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
DEFAULT_BETA - Static variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
DEFAULT_BETA - Static variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
DEFAULT_BETA - Static variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
DEFAULT_BETA - Static variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
DEFAULT_BETA - Static variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
DEFAULT_C1 - Static variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
DEFAULT_C2 - Static variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
DEFAULT_CLASSIFIER_TYPE - Static variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
DEFAULT_CLASSIFIER_TYPE - Static variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
DEFAULT_CLASSIFIER_TYPE - Static variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
DEFAULT_COLONY_SIZE - Static variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
DEFAULT_CONFIDENCE - Static variable in class unifeat.gui.classifier.DTClassifierPanel
+
 
+
DEFAULT_CONFIDENCE - Static variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
DEFAULT_CONST_PARAM - Static variable in class unifeat.gui.featureSelection.filter.LaplacianScorePanel
+
 
+
DEFAULT_CROSSOVER_RATE - Static variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
DEFAULT_CROSSOVER_TYPE - Static variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
DEFAULT_ELIMINATION - Static variable in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
 
+
DEFAULT_END_POS_INTERVAL - Static variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
DEFAULT_EPSILON - Static variable in class unifeat.gui.featureSelection.wrapper.GABased.HGAFSPanel
+
 
+
DEFAULT_EPSILON - Static variable in class unifeat.gui.featureSelection.wrapper.PSOBased.HPSO_LSPanel
+
 
+
DEFAULT_EV_RATE - Static variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
DEFAULT_EV_RATE - Static variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
DEFAULT_EV_RATE - Static variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
DEFAULT_EV_RATE - Static variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
DEFAULT_EV_RATE - Static variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
DEFAULT_EV_RATE - Static variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
DEFAULT_EV_RATE - Static variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
DEFAULT_INERTIA_WEIGHT - Static variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
DEFAULT_INIT_PHEROMONE - Static variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
DEFAULT_INIT_PHEROMONE - Static variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
DEFAULT_INIT_PHEROMONE - Static variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
DEFAULT_INIT_PHEROMONE - Static variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
DEFAULT_INIT_PHEROMONE - Static variable in class unifeat.gui.featureSelection.wrapper.ACOBased.OptimalACOPanel
+
 
+
DEFAULT_K_FOLDS - Static variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
DEFAULT_K_FOLDS - Static variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
DEFAULT_K_FOLDS - Static variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
DEFAULT_K_NEAREST - Static variable in class unifeat.gui.featureSelection.filter.LaplacianScorePanel
+
 
+
DEFAULT_KNN_VALUE - Static variable in class unifeat.gui.classifier.KNNClassifierPanel
+
 
+
DEFAULT_MAX_DEPTH - Static variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
DEFAULT_MAX_VELOCITY - Static variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
DEFAULT_MIN_NUM - Static variable in class unifeat.gui.classifier.DTClassifierPanel
+
 
+
DEFAULT_MIN_NUM - Static variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
DEFAULT_MIN_VELOCITY - Static variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
DEFAULT_MU - Static variable in class unifeat.gui.featureSelection.wrapper.GABased.HGAFSPanel
+
 
+
DEFAULT_MULT_METHOD_NAME - Static variable in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
 
+
DEFAULT_MUTATION_RATE - Static variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
DEFAULT_MUTATION_TYPE - Static variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
DEFAULT_NUM_ANTS - Static variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
DEFAULT_NUM_ANTS - Static variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
DEFAULT_NUM_ANTS - Static variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
DEFAULT_NUM_ANTS - Static variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
DEFAULT_NUM_ANTS - Static variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
DEFAULT_NUM_ANTS - Static variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
DEFAULT_NUM_FEAT_OF_ANT - Static variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
DEFAULT_NUM_FEAT_OF_ANT - Static variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
DEFAULT_NUM_FEAT_OF_ANT - Static variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
DEFAULT_NUM_FEAT_OF_ANT - Static variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
DEFAULT_NUM_FEAT_OF_ANT - Static variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
DEFAULT_NUM_FOLD - Static variable in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
 
+
DEFAULT_NUM_ITERATION - Static variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
DEFAULT_NUM_ITERATION - Static variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
DEFAULT_NUM_ITERATION - Static variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
DEFAULT_NUM_ITERATION - Static variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
DEFAULT_NUM_ITERATION - Static variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
DEFAULT_NUM_ITERATION - Static variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
DEFAULT_NUM_ITERATION - Static variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
DEFAULT_NUM_ITERATION - Static variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
DEFAULT_NUM_ITERATION - Static variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
DEFAULT_NUM_RUN - Static variable in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
 
+
DEFAULT_NUM_SELECTION - Static variable in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
 
+
DEFAULT_PARAMETER_C - Static variable in class unifeat.gui.classifier.svmClassifier.SVMClassifierPanel
+
 
+
DEFAULT_PARAMETER_C - Static variable in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
 
+
DEFAULT_PHI - Static variable in class unifeat.gui.featureSelection.wrapper.ACOBased.OptimalACOPanel
+
 
+
DEFAULT_POPULATION_SIZE - Static variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
DEFAULT_POPULATION_SIZE - Static variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
DEFAULT_Q0 - Static variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
DEFAULT_Q0 - Static variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
DEFAULT_Q0 - Static variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
DEFAULT_Q0 - Static variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
DEFAULT_Q0 - Static variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
DEFAULT_Q0 - Static variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
DEFAULT_RANDOM_FOREST_NUM_FEATURES - Static variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
DEFAULT_RANDOM_FOREST_NUM_ITERATION - Static variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
DEFAULT_RANDOM_TREE_K_VALUE - Static variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
DEFAULT_RANDOM_TREE_MAX_DEPTH - Static variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
DEFAULT_RANDOM_TREE_MIN_NUM - Static variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
DEFAULT_RANDOM_TREE_MIN_VARIANCE_PROP - Static variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
DEFAULT_REPLACEMENT_TYPE - Static variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
DEFAULT_SELECTION_TYPE - Static variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
DEFAULT_SIMILARITY - Static variable in class unifeat.gui.featureSelection.filter.RRFSPanel
+
 
+
DEFAULT_SIZE_SUBSPACE - Static variable in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
 
+
DEFAULT_START_POS_INTERVAL - Static variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
DEFAULT_THETA - Static variable in class unifeat.gui.featureSelection.wrapper.PSOBased.CPSOPanel
+
 
+
DEFAULT_THETA - Static variable in class unifeat.gui.featureSelection.wrapper.PSOBased.PSO42Panel
+
 
+
DEFAULT_TYPE_KERNEL - Static variable in class unifeat.gui.classifier.svmClassifier.SVMClassifierPanel
+
 
+
DEFAULT_TYPE_KERNEL - Static variable in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
 
+
deleteDirectoryWithAllFiles(String) - Static method in class unifeat.util.FileFunc
+
+
This method deletes the current directory with all files in the directory + denoted by pathname
+
+
deleteFilesInDirectory(String) - Static method in class unifeat.util.FileFunc
+
+
This method deletes all files in the directory denoted by pathname
+
+
deleteTempDirectory() - Method in class unifeat.featureSelection.FitnessEvaluator
+
+
This method deletes the current directory with all files in the directory
+
+
determineSubsetSize() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.Population
+
+
This method determines the size of feature subset.
+
+
determineSubsetSize() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS.Swarm
+
+
This method determines the size of feature subset.
+
+
diagram - Variable in class unifeat.gui.MainPanel
+
 
+
DiagramPanel - Class in unifeat.gui.menu
+
+
This java class is used to create and show the 2-D diagrams of the input + values
+
+
DiagramPanel(double[][], int[], String, String, String, String, String) - Constructor for class unifeat.gui.menu.DiagramPanel
+
+
Creates new form DiagramPanel.
+
+
DiagramPanel.TupleValues - Class in unifeat.gui.menu
+
+
This java class is used to create a data structure for pair + (key, val) in which key and val are + Point data type.
+
+
dissimilarSet - Variable in class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.Population
+
 
+
dissimilarSet - Variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS.Swarm
+
 
+
DT - Static variable in class unifeat.classifier.ClassifierType
+
 
+
DTClassifierPanel - Class in unifeat.gui.classifier
+
+
This java class is used to create and show a panel for the parameter settings + of the decision tree classifier.
+
+
DTClassifierPanel() - Constructor for class unifeat.gui.classifier.DTClassifierPanel
+
+
Creates new form DTClassifierPanel.
+
+
dtEvaluationPanel - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
dtEvaluationPanel - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
dtEvaluationPanel - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
dtEvaluationPanel - Variable in class unifeat.gui.MainPanel
+
 
+
dTree(String, double, int, int) - Static method in class unifeat.classifier.evaluation.wekaClassifier.CrossValidation
+
+
This method builds and evaluates the decision tree(DT) classifier.
+
+
dTree(String, String, double, int) - Static method in class unifeat.classifier.evaluation.wekaClassifier.TrainTestEvaluation
+
+
This method builds and evaluates the decision tree(DT) classifier.
+
+
+

E

+
+
edgeCounter - Variable in class unifeat.featureSelection.filter.unsupervised.MGSACO
+
 
+
eh - Variable in class unifeat.gui.MainPanel
+
 
+
elimination - Variable in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
 
+
elimination - Variable in class unifeat.gui.MainPanel
+
 
+
EmbeddedApproach - Class in unifeat.featureSelection.embedded
+
+
The abstract class contains the main methods and fields that are used in all + embedded-based feature selection methods.
+
+
EmbeddedApproach(String) - Constructor for class unifeat.featureSelection.embedded.EmbeddedApproach
+
+
Initializes the parameters
+
+
embeddedApproachPerform(EmbeddedType) - Method in class unifeat.gui.MainPanel
+
+
This method performs the feature selection based on embedded-based + approach
+
+
EmbeddedType - Class in unifeat.featureSelection.embedded
+
+
This java class is used to define the names of embedded-based feature + selection methods.
+
+
EmbeddedType(String) - Constructor for class unifeat.featureSelection.embedded.EmbeddedType
+
+
Creates new EmbeddedType.
+
+
emptyFeatureSubset() - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicAnt
+
+
This method clears the current selected feature subset by the ant.
+
+
enablePositionValues(boolean) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
Enables the values of text box
+
+
END_POS_INTERVAL - Static variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicSwarm
+
 
+
endPosInterval - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
EnumType - Class in unifeat.featureSelection
+
+
The abstract class contains the main methods and fields that are used in all + enumerable types.
+
+
EnumType(String) - Constructor for class unifeat.featureSelection.EnumType
+
+
Initializes the parameters
+
+
EnumType(String, int) - Constructor for class unifeat.featureSelection.EnumType
+
+
Initializes the parameters
+
+
epsilon - Variable in class unifeat.gui.featureSelection.wrapper.GABased.HGAFSPanel
+
 
+
epsilon - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.HPSO_LSPanel
+
 
+
EPSILON - Static variable in class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.Population
+
 
+
EPSILON - Static variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS.Swarm
+
 
+
equalsKey(DiagramPanel.TupleValues) - Method in class unifeat.gui.menu.DiagramPanel.TupleValues
+
+
Determines whether or not two TupleValues are equal in their keys.
+
+
ERROR_DENOMINATOR - Variable in class unifeat.featureSelection.embedded.SVMBasedMethods.MSVM_RFE
+
 
+
ERROR_DENOMINATOR - Variable in class unifeat.featureSelection.embedded.SVMBasedMethods.OVA_SVM_RFE
+
 
+
ERROR_DENOMINATOR - Variable in class unifeat.featureSelection.embedded.SVMBasedMethods.OVO_SVM_RFE
+
 
+
ERROR_DENOMINATOR - Variable in class unifeat.featureSelection.filter.supervised.FisherScore
+
 
+
ERROR_DENOMINATOR - Variable in class unifeat.featureSelection.filter.supervised.GainRatio
+
 
+
ERROR_DENOMINATOR - Variable in class unifeat.featureSelection.filter.supervised.LaplacianScore
+
 
+
ERROR_DENOMINATOR - Variable in class unifeat.featureSelection.filter.supervised.SymmetricalUncertainty
+
 
+
ERROR_DENOMINATOR - Variable in class unifeat.featureSelection.filter.unsupervised.LaplacianScore
+
 
+
ERROR_RELEVANCE - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_1
+
 
+
ERROR_RELEVANCE - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
 
+
ERROR_RELEVANCE - Variable in class unifeat.featureSelection.filter.unsupervised.MGSACO
+
 
+
ERROR_RELEVANCE - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_1
+
 
+
ERROR_RELEVANCE - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_2
+
 
+
ERROR_SIMILARITY - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_1
+
 
+
ERROR_SIMILARITY - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
 
+
ERROR_SIMILARITY - Variable in class unifeat.featureSelection.filter.unsupervised.MGSACO
+
 
+
ERROR_SIMILARITY - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_1
+
 
+
ERROR_SIMILARITY - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_2
+
 
+
ERROR_SIMILARITY - Variable in class unifeat.featureSelection.filter.unsupervised.UFSACO
+
 
+
ERROR_TWO_CLASS_PROBLEM - Variable in class unifeat.featureSelection.embedded.SVMBasedMethods.OVA_SVM_RFE
+
 
+
ERROR_TWO_CLASS_PROBLEM - Variable in class unifeat.featureSelection.embedded.SVMBasedMethods.OVO_SVM_RFE
+
 
+
errorRate - Variable in class unifeat.result.performanceMeasure.Criteria
+
 
+
estimateFeatureMatrix(double[][], int) - Method in class unifeat.featureSelection.filter.supervised.LaplacianScore
+
+
Estimates each feature values
+
+
estimateFeatureMatrix(double[][], int) - Method in class unifeat.featureSelection.filter.unsupervised.LaplacianScore
+
+
Estimates each feature values
+
+
evaluateCurrentSolution(int) - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicColony
+
+
This method evaluates the fitness of each ant in the colony by predefined + fitness function.
+
+
evaluateCurrentSolution(int) - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO.Colony
+
+
This method evaluates the fitness of each ant in the colony by predefined + fitness function.
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.embedded.SVMBasedMethods.MSVM_RFE
+
+
Starts the feature selection process by multiple support vector machine + method based on recursive feature elimination using k-fold cross + validation resampling strategy (MSVM_RFE)
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.embedded.SVMBasedMethods.OVA_SVM_RFE
+
+
Starts the feature selection process by support vector machine method + based on recursive feature elimination using One-Versus-All strategy + (OVA_SVM_RFE)
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.embedded.SVMBasedMethods.OVO_SVM_RFE
+
+
Starts the feature selection process by support vector machine method + based on recursive feature elimination using One-Versus-One strategy + (OVO_SVM_RFE)
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.embedded.SVMBasedMethods.SVM_RFE
+
+
Starts the feature selection process by support vector machine method + based on recursive feature elimination (SVM_RFE)
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.embedded.TreeBasedMethods.DecisionTreeBasedMethod
+
+
Starts the feature selection process by Decision Tree based methods
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.embedded.TreeBasedMethods.RandomForestMethod
+
+
Starts the feature selection process by Random Forest based method
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.FeatureSelection
+
+
Starts the feature selection process by a given method
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.filter.supervised.FisherScore
+
+
Starts the feature selection process by Fisher score(FS) method
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.filter.supervised.GainRatio
+
+
Starts the feature selection process by gain ratio(GR) method
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.filter.supervised.GiniIndex
+
+
Starts the feature selection process by Gini index(GI) method
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.filter.supervised.InformationGain
+
+
Starts the feature selection process by information gain(IG) method
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.filter.supervised.LaplacianScore
+
+
Starts the feature selection process by Laplacian score(LS) method
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.filter.supervised.MRMR
+
+
Starts the feature selection process by minimal redundancy maximal + relevance (mRMR) method
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.filter.supervised.RRFS
+
+
Starts the feature selection process by relevance-redundancy feature + selection(RRFS) method
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.filter.supervised.SymmetricalUncertainty
+
+
Starts the feature selection process by symmetrical uncertainty(SU) method
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_1
+
+
Starts the feature selection process by incremental relevance–redundancy + feature selection based on ant colony optimization, version1 (IRRFSACO_1) + method
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
+
Starts the feature selection process by incremental relevance–redundancy + feature selection based on ant colony optimization, version2 (IRRFSACO_2) + method
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.filter.unsupervised.LaplacianScore
+
+
Starts the feature selection process by Laplacian score(LS) method
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.filter.unsupervised.MGSACO
+
+
Starts the feature selection process by microarray gene selection based + on ant colony optimization (MGSACO) method
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.filter.unsupervised.MutualCorrelation
+
+
Starts the feature selection process by mutual correlation(MC) method
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.filter.unsupervised.RRFS
+
+
Starts the feature selection process by relevance-redundancy + feature selection(RRFS) method
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.filter.unsupervised.RRFSACO_1
+
+
Starts the feature selection process by relevance–redundancy feature + selection based on ant colony optimization, version1 (RRFSACO_1) method
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.filter.unsupervised.RRFSACO_2
+
+
Starts the feature selection process by relevance–redundancy feature + selection based on ant colony optimization, version2 (RRFSACO_2) method
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.filter.unsupervised.RSM
+
+
Starts the feature selection process by random subspace method(RSM)
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.filter.unsupervised.TermVariance
+
+
Starts the feature selection process by term variance(TV) method
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.filter.unsupervised.UFSACO
+
+
Starts the feature selection process by unsupervised feature selection + based on ant colony optimization (UFSACO) method
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO.OptimalACO
+
+
Starts the feature selection process by optimal ant colony optimization + (Optimal ACO) method
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.HGAFS
+
+
Starts the feature selection process by hybrid genetic algorithm for + feature selection using local search (HGAFS)
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA.SimpleGA
+
+
Starts the feature selection process by simple genetic algorithm (Simple + GA) method
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BPSO.BPSO
+
+
Starts the feature selection process by binary particle swarm + optimization (BPSO) method
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.CPSO.CPSO
+
+
Starts the feature selection process by continuous particle swarm + optimization (CPSO) method
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS.HPSO_LS
+
+
Starts the feature selection process by hybrid particle swarm + optimization method using local search (HPSO-LS)
+
+
evaluateFeatures() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42.PSO42
+
+
Starts the feature selection process by particle swarm optimization + version 4-2(PSO(4-2)) method
+
+
evaluateFitness() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.BasicPopulation
+
+
This method evaluates the fitness of each individual in the population by + predefined fitness function.
+
+
evaluateFitness() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.Population
+
+
This method evaluates the fitness of each individual in the population by + predefined fitness function.
+
+
evaluateFitness() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA.Population
+
+
This method evaluates the fitness of each individual in the population by + predefined fitness function.
+
+
evaluateFitness() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicSwarm
+
+
This method evaluates the fitness of each particle in the swarm by + predefined fitness function.
+
+
evaluateFitness() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BPSO.Swarm
+
+
This method evaluates the fitness of each particle in the swarm by + predefined fitness function.
+
+
evaluateFitness() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.CPSO.Swarm
+
+
This method evaluates the fitness of each particle in the swarm by + predefined fitness function.
+
+
evaluateFitness() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS.Swarm
+
+
This method evaluates the fitness of each particle in the swarm by + predefined fitness function.
+
+
evaluateFitness() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42.Swarm
+
+
This method evaluates the fitness of each particle in the swarm by + predefined fitness function.
+
+
evaluateSubsets() - Method in class unifeat.featureSelection.filter.unsupervised.MGSACO
+
+
Evaluates the subset of selected features by using fitness function and + return the index of the ant with the max performance in the current + iteration
+
+
EventHandler() - Constructor for class unifeat.gui.MainPanel.EventHandler
+
 
+
evRate - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
evRate - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
evRate - Variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
evRate - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
evRate - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
evRate - Variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
evRate - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
evRate - Variable in class unifeat.gui.MainPanel
+
 
+
+

F

+
+
f - Variable in class unifeat.gui.menu.DiagramPanel
+
 
+
f - Variable in class unifeat.gui.ResultPanel
+
 
+
FDistributionValue(int, int, double) - Static method in class unifeat.util.CriticalValue
+
+
This method return the critical value of the table according to the + df1 and df2 degrees of freedom for the + significant level sigValues.
+
+
featCorrelationValue - Variable in class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.Population
+
 
+
FEATURE_VALUES - Static variable in class unifeat.result.ResultType
+
 
+
featureCounter - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_1
+
 
+
featureCounter - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
 
+
featureCounter - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_1
+
 
+
featureCounter - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_2
+
 
+
featureCounter - Variable in class unifeat.featureSelection.filter.unsupervised.UFSACO
+
 
+
featureScore - Variable in class unifeat.featureSelection.filter.unsupervised.RSM
+
 
+
FeatureSelection - Class in unifeat.featureSelection
+
+
The abstract class contains the main methods and fields that are used in all + feature selection methods.
+
+
FeatureSelection() - Constructor for class unifeat.featureSelection.FeatureSelection
+
+
Initializes the parameters
+
+
featureSelectionMethodName - Variable in class unifeat.result.Results
+
 
+
featureSubset - Variable in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicAnt
+
 
+
featureValues - Variable in class unifeat.featureSelection.FeatureWeighting
+
 
+
FeatureWeighting - Class in unifeat.featureSelection
+
+
The abstract class contains the main methods and fields that are used in all + feature weighting methods.
+
+
FeatureWeighting() - Constructor for class unifeat.featureSelection.FeatureWeighting
+
+
Initializes the parameters
+
+
file - Variable in class unifeat.gui.MainPanel
+
 
+
FileFunc - Class in unifeat.util
+
+
This java class is used to implement various utility methods for manipulating + files and directories.
+
+
FileFunc() - Constructor for class unifeat.util.FileFunc
+
 
+
fileMenu - Variable in class unifeat.gui.menu.DiagramPanel
+
 
+
fillPheromoneArray(double) - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicGraphRepresentation
+
+
This method fills all entries of the pheromone array with a specific + input value.
+
+
FilterApproach - Class in unifeat.featureSelection.filter
+
+
The abstract class contains the main methods and fields that are used in all + filter-based feature selection methods.
+
+
FilterApproach(int) - Constructor for class unifeat.featureSelection.filter.FilterApproach
+
+
Initializes the parameters
+
+
filterApproachPerform(FilterType, boolean) - Method in class unifeat.gui.MainPanel
+
+
This method performs the feature selection based on filter-based approach
+
+
FilterType - Class in unifeat.featureSelection.filter
+
+
This java class is used to define the names of filter-based feature selection + methods.
+
+
FilterType(String) - Constructor for class unifeat.featureSelection.filter.FilterType
+
+
Creates new FilterType.
+
+
finalResults - Variable in class unifeat.gui.MainPanel
+
 
+
findBestSubset(int) - Method in class unifeat.featureSelection.filter.unsupervised.MGSACO
+
+
Finds the best subset of feature up to know
+
+
findIndex(int, int) - Static method in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_1
+
+
Finds index in new Data Structure(Symmetric Matrix)
+
+
findIndex(int, int) - Static method in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
+
Finds index in new Data Structure(Symmetric Matrix)
+
+
findIndex(int, int) - Static method in class unifeat.featureSelection.filter.unsupervised.MGSACO
+
+
Finds index in new Data Structure(Symmetric Matrix)
+
+
findIndex(int, int) - Static method in class unifeat.featureSelection.filter.unsupervised.MutualCorrelation
+
+
Finds index in new Data Structure(Symmetric Matrix)
+
+
findIndex(int, int) - Static method in class unifeat.featureSelection.filter.unsupervised.RRFSACO_1
+
+
Finds index in new Data Structure(Symmetric Matrix)
+
+
findIndex(int, int) - Static method in class unifeat.featureSelection.filter.unsupervised.RRFSACO_2
+
+
Finds index in new Data Structure(Symmetric Matrix)
+
+
findIndex(int, int) - Static method in class unifeat.featureSelection.filter.unsupervised.UFSACO
+
+
Finds index in new Data Structure(Symmetric Matrix)
+
+
findMaxValue() - Method in class unifeat.gui.menu.DiagramPanel
+
+
Finds the maximum value of the input array
+
+
findMaxWithIndex(double[]) - Method in class unifeat.featureSelection.filter.supervised.MRMR
+
+
Finds the maximum value in the array and returns its index
+
+
findMaxWithIndex(double[], int) - Method in class unifeat.featureSelection.filter.unsupervised.MutualCorrelation
+
+
Finds the maximum value in the array and returns its index
+
+
findMinimumIndex(double[]) - Static method in class unifeat.util.MathFunc
+
+
Finds the minimum value of the input array and returns its index
+
+
findMinimumValue(double[]) - Static method in class unifeat.util.MathFunc
+
+
Finds the minimum value of the input array
+
+
findMinValue() - Method in class unifeat.gui.menu.DiagramPanel
+
+
Finds the minimum value of the input array
+
+
FISHER_SCORE - Static variable in class unifeat.featureSelection.filter.FilterType
+
 
+
FisherScore - Class in unifeat.featureSelection.filter.supervised
+
+
This java class is used to implement the Fisher score method.
+
+
FisherScore(int) - Constructor for class unifeat.featureSelection.filter.supervised.FisherScore
+
+
Initializes the parameters
+
+
FisherScore(Object...) - Constructor for class unifeat.featureSelection.filter.supervised.FisherScore
+
+
Initializes the parameters
+
+
fitness - Variable in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicAnt
+
 
+
fitness - Variable in class unifeat.featureSelection.wrapper.GABasedMethods.BasicIndividual
+
 
+
fitness - Variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicParticle
+
 
+
FITNESS_PROPORTIONAL_SELECTION - Static variable in class unifeat.gui.featureSelection.wrapper.GABased.SelectionType
+
 
+
fitnessEvaluator - Static variable in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicColony
+
 
+
fitnessEvaluator - Static variable in class unifeat.featureSelection.wrapper.GABasedMethods.BasicPopulation
+
 
+
fitnessEvaluator - Static variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicSwarm
+
 
+
FitnessEvaluator - Class in unifeat.featureSelection
+
+
This java class is used to implement fitness evaluator of a solution in which + k-fold cross validation on training set is used for evaluating the + classification performance of a selected feature subset.
+
+
FitnessEvaluator(String, Object, Object, int) - Constructor for class unifeat.featureSelection.FitnessEvaluator
+
+
Initializes the parameters
+
+
fitnessProportionalSelection(double[], int) - Static method in class unifeat.featureSelection.wrapper.GABasedMethods.SelectionOperator
+
+
Selects parents from the individuals of a population according to their + fitness values using fitness proportional selection method in which + roulette wheel algorithm is used for selecting each individual based on + their probabilities
+
+
FriedmanPanel - Class in unifeat.gui.menu
+
+
This java class is used to create and show a panel for analyzing the results + based on the Friedman test.
+
+
FriedmanPanel() - Constructor for class unifeat.gui.menu.FriedmanPanel
+
+
Creates new form FriedmanPanel.
+
+
+

G

+
+
GAIN_RATIO - Static variable in class unifeat.featureSelection.filter.FilterType
+
 
+
GainRatio - Class in unifeat.featureSelection.filter.supervised
+
+
This java class is used to implement the gain ratio method.
+
+
GainRatio(int) - Constructor for class unifeat.featureSelection.filter.supervised.GainRatio
+
+
Initializes the parameters
+
+
GainRatio(Object...) - Constructor for class unifeat.featureSelection.filter.supervised.GainRatio
+
+
Initializes the parameters
+
+
gBest - Variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicSwarm
+
 
+
gBestFitness - Variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicSwarm
+
 
+
generateRandNum(double, double) - Static method in class unifeat.util.MathFunc
+
+
Generates a random number that is drawn from a uniform distribution in a + specific interval.
+
+
generateRandNum(double, double, Random) - Static method in class unifeat.util.MathFunc
+
+
Generates a random double number that is drawn from a uniform + distribution in a specific interval.
+
+
generateRandNum(int, int, Random) - Static method in class unifeat.util.MathFunc
+
+
Generates a random integer number that is drawn from a uniform + distribution in a specific interval.
+
+
generateRandomFeatureSubset(int) - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42.Swarm
+
+
This method generates a position for a particle in which the number of + selected features is defined by input value.
+
+
genes - Variable in class unifeat.featureSelection.wrapper.GABasedMethods.BasicIndividual
+
 
+
get(ArrayList<DiagramPanel.TupleValues>) - Method in class unifeat.gui.menu.DiagramPanel.TupleValues
+
+
Returns the value to which the specified key is saved in the list, or + null if this list contains no element for the key.
+
+
getAccuracy() - Method in class unifeat.result.performanceMeasure.Criteria
+
+
This method returns the accuracy.
+
+
getAccuracyValues() - Method in class unifeat.result.performanceMeasure.PerformanceMeasures
+
+
Returns the accuracy values of the feature selection method
+
+
getAlpha() - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
+
This method returns the alpha.
+
+
getAlpha() - Method in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
+
This method returns the alpha.
+
+
getAlpha() - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
+
This method returns the alpha.
+
+
getAlpha() - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.HPSO_LSPanel
+
+
This method returns the alpha value.
+
+
getAverageAccuracyValues() - Method in class unifeat.result.performanceMeasure.PerformanceMeasures
+
+
Returns the average values of the accuracy of the feature selection + method over number of runs
+
+
getAverageErrorRateValues() - Method in class unifeat.result.performanceMeasure.PerformanceMeasures
+
+
Returns the average values of the error rate of the feature selection + method over number of runs
+
+
getAverageTimeValues() - Method in class unifeat.result.performanceMeasure.PerformanceMeasures
+
+
Returns the average values of the execution time of the feature selection + method over number of runs
+
+
getBestAnt() - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicColony
+
+
This method returns the best ant in the colony
+
+
getBestAnt() - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO.Colony
+
+
This method returns the best ant in the colony
+
+
getBeta() - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
+
This method returns the beta.
+
+
getBeta() - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
+
This method returns the beta.
+
+
getBeta() - Method in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
+
This method returns the beta.
+
+
getBeta() - Method in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
+
This method returns the beta.
+
+
getBeta() - Method in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
+
This method returns the beta.
+
+
getBeta() - Method in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
+
This method returns the beta.
+
+
getBeta() - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
+
This method returns the beta value.
+
+
getC1() - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
This method returns the c1 value.
+
+
getC2() - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
This method returns the c2 value.
+
+
getClassifierType() - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
+
This method returns the selected classifier type.
+
+
getClassifierType() - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method returns the selected classifier type.
+
+
getClassifierType() - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
This method returns the selected classifier type.
+
+
getClassLabel() - Method in class unifeat.dataset.DatasetInfo
+
+
This is used to return the names of class labels
+
+
getColonySize() - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
+
This method returns the size of colony value.
+
+
getConfidence() - Method in class unifeat.gui.classifier.DTClassifierPanel
+
+
This method returns the confidence factor value.
+
+
getConfidence() - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
This method returns the confidence factor value.
+
+
getConstParam() - Method in class unifeat.gui.featureSelection.filter.LaplacianScorePanel
+
+
This method returns the const parameter value.
+
+
getCountSteps() - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO.Ant
+
+
This method returns the current count steps of the ant.
+
+
getCrossoverRate() - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method returns the crossover rate value.
+
+
getCrossOverType() - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method returns the selected crossover type.
+
+
getElimination() - Method in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
+
This method returns the elimination threshold value.
+
+
getEmbeddedApproachParameters(EmbeddedType) - Method in class unifeat.gui.MainPanel
+
+
This method returns a list of parameters that are applied in a given + embedded-based feature selection method
+
+
getEndPosInterval() - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
This method returns the position interval end value.
+
+
getEpsilon() - Method in class unifeat.gui.featureSelection.wrapper.GABased.HGAFSPanel
+
+
This method returns the epsilon value.
+
+
getEpsilon() - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.HPSO_LSPanel
+
+
This method returns the epsilon value.
+
+
getErrorRate() - Method in class unifeat.result.performanceMeasure.Criteria
+
+
This method returns the error rate.
+
+
getErrorRateValues() - Method in class unifeat.result.performanceMeasure.PerformanceMeasures
+
+
Returns the error rate values of the feature selection method
+
+
getEvRate() - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
+
This method returns the evaporation rate.
+
+
getEvRate() - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
+
This method returns the evaporation rate.
+
+
getEvRate() - Method in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
+
This method returns the evaporation rate.
+
+
getEvRate() - Method in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
+
This method returns the evaporation rate.
+
+
getEvRate() - Method in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
+
This method returns the evaporation rate.
+
+
getEvRate() - Method in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
+
This method returns the evaporation rate.
+
+
getEvRate() - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
+
This method returns the evaporation rate.
+
+
getFeasibleFeatureSet() - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicAnt
+
+
This method returns the feasible features that can be added to the + current solution of the ant.
+
+
getFeasibleFeatureSet() - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO.Ant
+
+
This method returns the feasible features that can be added to the + current solution of the ant.
+
+
getFeatureSubset() - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicAnt
+
+
This method returns the current selected feature subset by the ant.
+
+
getFeatureSubsetSize() - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicAnt
+
+
This method returns the size of current selected feature subset by the + ant.
+
+
getFeaturesWeights(int[]) - Method in class unifeat.featureSelection.embedded.SVMBasedMethods.MSVM_RFE
+
+
Generates binary classifiers (SVM by applying k-fold cross validation + resampling strategy) using input data and based on selected feature + subset, and finally returns the weights of features
+
+
getFeaturesWeights(int[]) - Method in class unifeat.featureSelection.embedded.SVMBasedMethods.OVA_SVM_RFE
+
+
Generates binary classifiers (SVM by applying One-Versus-All (OVA) + strategy) using input data and based on selected feature subset, and + finally returns the weights of features
+
+
getFeaturesWeights(int[]) - Method in class unifeat.featureSelection.embedded.SVMBasedMethods.OVO_SVM_RFE
+
+
Generates binary classifiers (SVM by applying One-Versus-One (OVO) + strategy) using input data and based on selected feature subset, and + finally returns the weights of features
+
+
getFeaturesWeights(int[]) - Method in class unifeat.featureSelection.embedded.SVMBasedMethods.SVM_RFE
+
+
Generates a classifier (SVM) using input data and based on selected + feature subset, and finally returns the weights of features based on + ranking criterion (weight magnitude)
+
+
getFeatureValues() - Method in class unifeat.featureSelection.FeatureWeighting
+
+
This method returns the weights of features computed by the feature + weighting method.
+
+
getFilterApproachParameters(FilterType, int) - Method in class unifeat.gui.MainPanel
+
+
This method returns a list of parameters that are applied in a given + filter-based feature selection method
+
+
getFitness() - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicAnt
+
+
This method returns the fitness value of the ant.
+
+
getFitness() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.BasicIndividual
+
+
This method returns the fitness value of the individual.
+
+
getFitness() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.BasicPopulation
+
+
This method returns an array of fitness values of individuals in a + population
+
+
getFitness() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.Population
+
+
This method returns an array of fitness values of individuals in a + population
+
+
getFitness() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA.Population
+
+
This method returns an array of fitness values of individuals in a + population
+
+
getFitness() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicParticle
+
+
This method returns the fitness value of the particle.
+
+
getFittestIndividual() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.BasicPopulation
+
+
This method returns the fittest individual in the population
+
+
getFittestIndividual() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.Population
+
+
This method returns the fittest individual in the population
+
+
getFittestIndividual() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA.Population
+
+
This method returns the fittest individual in the population
+
+
getGBest() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicSwarm
+
+
This method returns the best position in the swarm (global best)
+
+
getGBestFitness() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicSwarm
+
+
This method returns the fitness value of best position in the swarm + (global best)
+
+
getHybridApproachParameters(HybridType, int) - Method in class unifeat.gui.MainPanel
+
+
This method returns a list of parameters that are applied in a given + hybrid-based feature selection method
+
+
getInertiaWeight() - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
This method returns the inertia weight (w) value.
+
+
getInitPheromone() - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
+
This method returns the initial pheromone value.
+
+
getInitPheromone() - Method in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
+
This method returns the initial pheromone value.
+
+
getInitPheromone() - Method in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
+
This method returns the initial pheromone value.
+
+
getInitPheromone() - Method in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
+
This method returns the initial pheromone value.
+
+
getInitPheromone() - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.OptimalACOPanel
+
+
This method returns the initial pheromone value.
+
+
getKernel() - Method in class unifeat.gui.classifier.svmClassifier.SVMClassifierPanel
+
+
This method returns the name of kernel.
+
+
getKernel() - Method in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
+
This method returns the name of kernel.
+
+
getKey() - Method in class unifeat.gui.menu.DiagramPanel.TupleValues
+
+
Returns the key of this TupleValues in Point data type.
+
+
getKFolds() - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
+
This method returns the k folds value.
+
+
getKFolds() - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method returns the k folds value.
+
+
getKFolds() - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
This method returns the k folds value.
+
+
getKNearest() - Method in class unifeat.gui.featureSelection.filter.LaplacianScorePanel
+
+
This method returns the k-nearest neighbor value.
+
+
getKNNValue() - Method in class unifeat.gui.classifier.KNNClassifierPanel
+
+
This method returns the number of neighbours to use.
+
+
getMaxDepth() - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
This method returns the maximum depth of the tree.
+
+
getMaxVelocity() - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
This method returns the velocity interval end value.
+
+
getMinNum() - Method in class unifeat.gui.classifier.DTClassifierPanel
+
+
This method returns the minimum number of samples per leaf.
+
+
getMinNum() - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
This method returns the minimum number of samples per leaf.
+
+
getMinVelocity() - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
This method returns the velocity interval start value.
+
+
getMoreOptionDescription() - Method in class unifeat.gui.ParameterPanel
+
+
This method returns the description of the parameters in details that is + shown in more option panel.
+
+
getMu() - Method in class unifeat.gui.featureSelection.wrapper.GABased.HGAFSPanel
+
+
This method returns the mu value.
+
+
getMultMethodName() - Method in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
+
This method returns the name of multivariate method.
+
+
getMutationRate() - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method returns the mutation rate value.
+
+
getMutationType() - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method returns the selected mutation type.
+
+
getNameFeatures() - Method in class unifeat.dataset.DatasetInfo
+
+
This is used to return the names of features
+
+
getNameMode() - Method in class unifeat.gui.menu.selectMode.SelectModePanel
+
+
This method returns the type of mode.
+
+
getNumAnts() - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
+
This method returns the number of ants value.
+
+
getNumAnts() - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
+
This method returns the number of ants value.
+
+
getNumAnts() - Method in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
+
This method returns the number of ants value.
+
+
getNumAnts() - Method in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
+
This method returns the number of ants value.
+
+
getNumAnts() - Method in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
+
This method returns the number of ants value.
+
+
getNumAnts() - Method in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
+
This method returns the number of ants value.
+
+
getNumClass() - Method in class unifeat.dataset.DatasetInfo
+
+
This is used to return number of classes in the dataset
+
+
getNumData() - Method in class unifeat.dataset.DatasetInfo
+
+
This is used to return number of samples in the dataset(train set + test + set)
+
+
getNumFeatOfAnt() - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
+
This method returns the number of features for ants.
+
+
getNumFeatOfAnt() - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
+
This method returns the number of features for ants.
+
+
getNumFeatOfAnt() - Method in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
+
This method returns the number of features for ants.
+
+
getNumFeatOfAnt() - Method in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
+
This method returns the number of features for ants.
+
+
getNumFeatOfAnt() - Method in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
+
This method returns the number of features for ants.
+
+
getNumFeature() - Method in class unifeat.dataset.DatasetInfo
+
+
This is used to return number of features in each sample
+
+
getNumFold() - Method in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
+
This method returns the number of subsamples value.
+
+
getNumIteration() - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
+
This method returns the number of iterations value.
+
+
getNumIteration() - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
+
This method returns the number of iterations value.
+
+
getNumIteration() - Method in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
+
This method returns the number of iterations value.
+
+
getNumIteration() - Method in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
+
This method returns the number of iterations value.
+
+
getNumIteration() - Method in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
+
This method returns the number of iterations value.
+
+
getNumIteration() - Method in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
+
This method returns the number of iterations value.
+
+
getNumIteration() - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
+
This method returns the number of iterations value.
+
+
getNumIteration() - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method returns the number of iterations value.
+
+
getNumIteration() - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
This method returns the number of iterations value.
+
+
getNumRun() - Method in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
+
This method returns the number of runs value.
+
+
getNumSelection() - Method in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
+
This method returns the number of selections value.
+
+
getNumTestSet() - Method in class unifeat.dataset.DatasetInfo
+
+
This is used to return number of samples in the test set
+
+
getNumTrainSet() - Method in class unifeat.dataset.DatasetInfo
+
+
This is used to return number of samples in the train set
+
+
getParameterC() - Method in class unifeat.gui.classifier.svmClassifier.SVMClassifierPanel
+
+
This method returns the complexity parameter C.
+
+
getParameterC() - Method in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
+
This method returns the complexity parameter C.
+
+
getPBestFitness() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicParticle
+
+
This method returns the fitness value of best position of the particle + (personal best)
+
+
getPerformanceMeasures() - Method in class unifeat.result.Results
+
+
Returns the performance measures of the obtained result
+
+
getPheromone(int, int) - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicGraphRepresentation
+
+
This method returns a pheromone value in a specific entry of the + pheromone array that is determined by indeces of the row and column
+
+
getPheromone(int, int) - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO.GraphRepresentation
+
+
This method returns a pheromone value in a specific entry of the + pheromone array that is determined by indeces of the row and column
+
+
getPhi() - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.OptimalACOPanel
+
+
This method returns the phi value.
+
+
getPopulationSize() - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method returns the size of population value.
+
+
getPopulationSize() - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
This method returns the size of population value.
+
+
getQ0() - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
+
This method returns the q0.
+
+
getQ0() - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
+
This method returns the q0.
+
+
getQ0() - Method in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
+
This method returns the q0.
+
+
getQ0() - Method in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
+
This method returns the q0.
+
+
getQ0() - Method in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
+
This method returns the q0.
+
+
getQ0() - Method in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
+
This method returns the q0.
+
+
getRandomForestNumFeatures() - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
This method returns the number of randomly selected features.
+
+
getRandomForestNumIterations() - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
This method returns the number of iterations to be performed.
+
+
getRandomTreeKValue() - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
This method returns the number of randomly chosen attributes.
+
+
getRandomTreeMaxDepth() - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
This method returns the maximum depth of the tree.
+
+
getRandomTreeMinNum() - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
This method returns the minimum total weight of the instances in a leaf.
+
+
getRandomTreeMinVarianceProp() - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
This method returns the minimum proportion of the total variance (over + all the data) required for split.
+
+
getReplacementType() - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method returns the selected replacement type.
+
+
getSelectedClassifierPan() - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
+
This method returns the selected classifier panel value.
+
+
getSelectedClassifierPan() - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method returns the selected classifier panel value.
+
+
getSelectedClassifierPan() - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
This method returns the selected classifier panel value.
+
+
getSelectedFeatureSubset() - Method in class unifeat.featureSelection.FeatureSelection
+
+
This method returns the subset of selected features by a given feature + selection method.
+
+
getSelectionType() - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method returns the selected selection type.
+
+
getSimilarity() - Method in class unifeat.gui.featureSelection.filter.RRFSPanel
+
+
This method returns the similarity threshold value.
+
+
getSizeSubspace() - Method in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
+
This method returns the size of subspace value.
+
+
getStartPosInterval() - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
This method returns the position interval start value.
+
+
getTestSet() - Method in class unifeat.dataset.DatasetInfo
+
+
This is used to return the test set values
+
+
getTheta() - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.CPSOPanel
+
+
This method returns the theta value.
+
+
getTheta() - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.PSO42Panel
+
+
This method returns the theta value.
+
+
getTime() - Method in class unifeat.result.performanceMeasure.Criteria
+
+
This method returns the time.
+
+
getTimeValues() - Method in class unifeat.result.performanceMeasure.PerformanceMeasures
+
+
Returns the execution time values of the feature selection method
+
+
getTrainSet() - Method in class unifeat.dataset.DatasetInfo
+
+
This is used to return the train set values
+
+
getTreeType() - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
This method returns the type of the tree.
+
+
getVal() - Method in class unifeat.gui.menu.DiagramPanel.TupleValues
+
+
Returns the val of this TupleValues in Point data type.
+
+
getValue() - Method in class unifeat.featureSelection.EnumType
+
+
Returns value of the object
+
+
getWeightedFilterApproachParameters(FilterType, int) - Method in class unifeat.gui.MainPanel
+
+
This method returns a list of parameters that are applied in a given + feature weighting method
+
+
getWrapperApproachParameters(WrapperType, int) - Method in class unifeat.gui.MainPanel
+
+
This method returns a list of parameters that are applied in a given + wrapper-based feature selection method
+
+
GINI_INDEX - Static variable in class unifeat.featureSelection.filter.FilterType
+
 
+
GiniIndex - Class in unifeat.featureSelection.filter.supervised
+
+
This java class is used to implement the Gini index method.
+
+
GiniIndex(int) - Constructor for class unifeat.featureSelection.filter.supervised.GiniIndex
+
+
Initializes the parameters
+
+
GiniIndex(Object...) - Constructor for class unifeat.featureSelection.filter.supervised.GiniIndex
+
+
Initializes the parameters
+
+
graphRepresentation - Static variable in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicColony
+
 
+
GraphRepresentation - Class in unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO
+
+
This java class is used to represent a graph in optimal ant colony + optimization (optimal ACO) method.
+
+
GraphRepresentation(int, int) - Constructor for class unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO.GraphRepresentation
+
+
Initializes the parameters
+
+
greedyRule(int) - Method in class unifeat.featureSelection.filter.unsupervised.MGSACO
+
+
Greedy state transition rule
+
+
greedyRule(int) - Method in class unifeat.featureSelection.filter.unsupervised.RRFSACO_1
+
+
Greedy state transition rule
+
+
greedyRule(int) - Method in class unifeat.featureSelection.filter.unsupervised.RRFSACO_2
+
+
Greedy state transition rule
+
+
greedyRule(int) - Method in class unifeat.featureSelection.filter.unsupervised.UFSACO
+
+
Greedy state transition rule
+
+
greedyRule(int, int) - Method in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_1
+
+
Greedy state transition rule
+
+
greedyRule(int, int) - Method in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
+
Greedy state transition rule
+
+
+

H

+
+
help - Variable in class unifeat.gui.MainPanel
+
 
+
HGAFS - Class in unifeat.featureSelection.wrapper.GABasedMethods.HGAFS
+
+
This java class is used to implement feature selection method based on hybrid + genetic algorithm for feature selection using local search (HGAFS) in which + the type of Population is extended from Population class.
+
+
HGAFS - Static variable in class unifeat.featureSelection.wrapper.WrapperType
+
 
+
HGAFS(Object...) - Constructor for class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.HGAFS
+
+
Initializes the parameters
+
+
hgafsFeatSelectionPanel - Variable in class unifeat.gui.MainPanel
+
 
+
HGAFSPanel - Class in unifeat.gui.featureSelection.wrapper.GABased
+
+
This java class is used to create and show a panel for the parameter settings + of the hybrid genetic algorithm using local search (HGAFS).
+
+
HGAFSPanel() - Constructor for class unifeat.gui.featureSelection.wrapper.GABased.HGAFSPanel
+
+
Creates new form HGAFSPanel.
+
+
HPSO_LS - Class in unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS
+
+
This java class is used to implement feature selection based on hybrid + particle swarm optimization method using local search (HPSO-LS) in which the + type of Swarm is extended from Swarm class.
+
+
HPSO_LS - Static variable in class unifeat.featureSelection.wrapper.WrapperType
+
 
+
HPSO_LS(Object...) - Constructor for class unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS.HPSO_LS
+
+
Initializes the parameters
+
+
HPSO_LSPanel - Class in unifeat.gui.featureSelection.wrapper.PSOBased
+
+
This java class is used to create and show a panel for the parameter settings + of the hybrid particle swarm optimization method using local search + (HPSO-LS).
+
+
HPSO_LSPanel() - Constructor for class unifeat.gui.featureSelection.wrapper.PSOBased.HPSO_LSPanel
+
+
Creates new form HPSO_LSPanel.
+
+
hpsolsFeatSelectionPanel - Variable in class unifeat.gui.MainPanel
+
 
+
HybridApproach - Class in unifeat.featureSelection.hybrid
+
+
The abstract class contains the main methods and fields that are used in all + hybrid-based feature selection methods.
+
+
HybridApproach() - Constructor for class unifeat.featureSelection.hybrid.HybridApproach
+
+
Initializes the parameters
+
+
hybridApproachPerform(HybridType) - Method in class unifeat.gui.MainPanel
+
+
This method performs the feature selection based on hybrid-based approach
+
+
HybridType - Class in unifeat.featureSelection.hybrid
+
+
This java class is used to define the names of hybrid-based feature selection + methods.
+
+
HybridType(String) - Constructor for class unifeat.featureSelection.hybrid.HybridType
+
+
Creates new HybridType.
+
+
+

I

+
+
increaseCountSteps() - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO.Ant
+
+
This method increases one step of the count steps of the ant.
+
+
indexClass(String) - Method in class unifeat.dataset.DatasetInfo
+
+
This method converts the String name of class labels to the integer value
+
+
Individual - Class in unifeat.featureSelection.wrapper.GABasedMethods.HGAFS
+
+
This java class is used to represent an individual in simple genetic + algorithm (Simple GA) method in which the type of gene vector is boolean.
+
+
Individual - Class in unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA
+
+
This java class is used to represent an individual in simple genetic + algorithm (Simple GA) method in which the type of gene vector is boolean.
+
+
Individual(int) - Constructor for class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.Individual
+
+
Initializes the parameters
+
+
Individual(int) - Constructor for class unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA.Individual
+
+
Initializes the parameters
+
+
INERTIA_WEIGHT - Static variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicSwarm
+
 
+
inertiaWeight - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
INFORMATION_GAIN - Static variable in class unifeat.featureSelection.filter.FilterType
+
 
+
InformationGain - Class in unifeat.featureSelection.filter.supervised
+
+
This java class is used to implement the information gain method.
+
+
InformationGain(int) - Constructor for class unifeat.featureSelection.filter.supervised.InformationGain
+
+
Initializes the parameters
+
+
InformationGain(Object...) - Constructor for class unifeat.featureSelection.filter.supervised.InformationGain
+
+
Initializes the parameters
+
+
init(String, String) - Method in class unifeat.dataset.DatasetInfo
+
+
This method sets the dataset and the class labels of samples
+
+
init(String, String, String) - Method in class unifeat.dataset.DatasetInfo
+
+
This method read and set the train/test sets and class labels of samples
+
+
INIT_PHEROMONE_VALUE - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
 
+
INIT_PHEROMONE_VALUE - Variable in class unifeat.featureSelection.filter.unsupervised.MGSACO
+
 
+
INIT_PHEROMONE_VALUE - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_2
+
 
+
INIT_PHEROMONE_VALUE - Variable in class unifeat.featureSelection.filter.unsupervised.UFSACO
+
 
+
INIT_PHEROMONE_VALUE - Static variable in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicColony
+
 
+
initialization() - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicColony
+
+
This method initializes the problem parameters.
+
+
initialization() - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO.Colony
+
+
This method initializes the problem parameters.
+
+
initialization() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.BasicPopulation
+
+
This method initializes each individual in the population.
+
+
initialization() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.Population
+
+
This method initializes each individual in the population.
+
+
initialization() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA.Population
+
+
This method initializes each individual in the population.
+
+
initialization() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicSwarm
+
+
This method initializes the position and velocity vectors of each + particle in the swarm.
+
+
initialization() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BPSO.Swarm
+
+
This method initializes the position and velocity vectors of each + particle in the swarm.
+
+
initialization() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.CPSO.Swarm
+
+
This method initializes the position and velocity vectors of each + particle in the swarm.
+
+
initialization() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS.Swarm
+
+
This method initializes the position and velocity vectors of each + particle in the swarm.
+
+
initialization() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42.Swarm
+
+
This method initializes the position and velocity vectors of each + particle in the swarm.
+
+
initPheromone - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
initPheromone - Variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
initPheromone - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
initPheromone - Variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
initPheromone - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.OptimalACOPanel
+
 
+
initPheromone - Variable in class unifeat.gui.MainPanel
+
 
+
intervalYDimension - Variable in class unifeat.gui.menu.DiagramPanel
+
 
+
IRRFSACO_1 - Class in unifeat.featureSelection.filter.unsupervised
+
+
This java class is used to implement the incremental relevance-redundancy + feature selection based on ant colony optimization, version1 (IRRFSACO_1) + method.
+
+
IRRFSACO_1 - Static variable in class unifeat.featureSelection.filter.FilterType
+
 
+
IRRFSACO_1(int, int, int, int, double, double, double) - Constructor for class unifeat.featureSelection.filter.unsupervised.IRRFSACO_1
+
+
Initializes the parameters
+
+
IRRFSACO_1(Object...) - Constructor for class unifeat.featureSelection.filter.unsupervised.IRRFSACO_1
+
+
Initializes the parameters
+
+
IRRFSACO_1Panel - Class in unifeat.gui.featureSelection.filter
+
+
This java class is used to create and show a panel for the parameter settings + of the incremental relevance-redundancy feature selection based on ant colony + optimization, version1 (IRRFSACO_1) method.
+
+
IRRFSACO_1Panel() - Constructor for class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
+
Creates new form IRRFSACO_1Panel.
+
+
IRRFSACO_2 - Class in unifeat.featureSelection.filter.unsupervised
+
+
This java class is used to implement the incremental relevance–redundancy + feature selection based on ant colony optimization, version2 (IRRFSACO_2) + method.
+
+
IRRFSACO_2 - Static variable in class unifeat.featureSelection.filter.FilterType
+
 
+
IRRFSACO_2(int, double, int, int, int, double, double, double, double) - Constructor for class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
+
Initializes the parameters
+
+
IRRFSACO_2(Object...) - Constructor for class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
+
Initializes the parameters
+
+
IRRFSACO_2Panel - Class in unifeat.gui.featureSelection.filter
+
+
This java class is used to create and show a panel for the parameter settings + of the incremental relevance–redundancy feature selection based on ant colony + optimization, version2 (IRRFSACO_2) method.
+
+
IRRFSACO_2Panel() - Constructor for class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
+
Creates new form IRRFSACO_2Panel.
+
+
isCompatibleTrainTestSet() - Method in class unifeat.dataset.DatasetInfo
+
+
This is used to return the status of train/test sets
+
+
isCorrectClassLabel() - Method in class unifeat.dataset.DatasetInfo
+
+
This is used to return the status of the class label file
+
+
isCorrectDataset() - Method in class unifeat.dataset.DatasetInfo
+
+
This is used to return the status of the dataset
+
+
isCorrectDataset() - Method in class unifeat.gui.MainPanel
+
+
This method checks the status of the paths of the data files
+
+
isCorrectSamplesClass() - Method in class unifeat.dataset.DatasetInfo
+
+
This is used to return the status of the samples' class
+
+
isCorrectString(String) - Method in class unifeat.dataset.DatasetInfo
+
+
This method checks that the input string don't contain the semicolon(;) + or tab characters.
+
+
isDouble(String) - Static method in class unifeat.util.MathFunc
+
+
Checks whether the input string is an double value or not
+
+
isEmbeddedMethod(String) - Static method in class unifeat.featureSelection.embedded.EmbeddedType
+
+
Checks whether the method is embedded-based feature selection method or + not
+
+
isHybridMethod(String) - Static method in class unifeat.featureSelection.hybrid.HybridType
+
+
Checks whether the method is hybrid-based feature selection method or not
+
+
isInteger(String) - Static method in class unifeat.util.MathFunc
+
+
Checks whether the input string is an integer value or not
+
+
isNonWeightedFilterMethod(String) - Static method in class unifeat.featureSelection.filter.NonWeightedFilterType
+
+
Checks whether the method is filter-based feature weighting method or not
+
+
isSelectedFeature(int, int) - Method in class unifeat.featureSelection.filter.supervised.MRMR
+
+
Checks that is the current feature (index) available in the subset of + selected feature
+
+
isWeightedFilterMethod(String) - Static method in class unifeat.featureSelection.filter.WeightedFilterType
+
+
Checks whether the method is filter-based feature weighting method or not
+
+
isWrapperMethod(String) - Static method in class unifeat.featureSelection.wrapper.WrapperType
+
+
Checks whether the method is wrapper-based feature selection method or not
+
+
isZeroFeat(int) - Method in class unifeat.featureSelection.filter.supervised.LaplacianScore
+
+
Checks the values of data corresponding to a given feature
+
+
isZeroFeat(int) - Method in class unifeat.featureSelection.filter.unsupervised.LaplacianScore
+
+
Checks the values of data corresponding to a given feature
+
+
itemStateChanged(ItemEvent) - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
+
The listener method for receiving item events.
+
+
itemStateChanged(ItemEvent) - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
The listener method for receiving item events.
+
+
itemStateChanged(ItemEvent) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
The listener method for receiving item events.
+
+
itemStateChanged(ItemEvent) - Method in class unifeat.gui.MainPanel.EventHandler
+
+
The listener method for receiving item events.
+
+
+

K

+
+
K_FOLDS - Variable in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicACO
+
 
+
K_FOLDS - Variable in class unifeat.featureSelection.wrapper.GABasedMethods.BasicGA
+
 
+
K_FOLDS - Variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicPSO
+
 
+
K_NEAREST_NEIGHBOR_VALUE - Variable in class unifeat.featureSelection.filter.unsupervised.LaplacianScore
+
 
+
kernelType - Variable in class unifeat.featureSelection.embedded.SVMBasedMethods.SVMBasedMethods
+
 
+
key - Variable in class unifeat.gui.menu.DiagramPanel.TupleValues
+
 
+
keyPressed(KeyEvent) - Method in class unifeat.gui.ParameterPanel
+
+
The listener method for receiving keyboard events (keystrokes).
+
+
keyReleased(KeyEvent) - Method in class unifeat.gui.classifier.DTClassifierPanel
+
+
The listener method for receiving keyboard events (keystrokes).
+
+
keyReleased(KeyEvent) - Method in class unifeat.gui.classifier.KNNClassifierPanel
+
+
The listener method for receiving keyboard events (keystrokes).
+
+
keyReleased(KeyEvent) - Method in class unifeat.gui.classifier.svmClassifier.SVMClassifierPanel
+
+
The listener method for receiving keyboard events (keystrokes).
+
+
keyReleased(KeyEvent) - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
The listener method for receiving keyboard events (keystrokes).
+
+
keyReleased(KeyEvent) - Method in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
+
The listener method for receiving keyboard events (keystrokes).
+
+
keyReleased(KeyEvent) - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
+
The listener method for receiving keyboard events (keystrokes).
+
+
keyReleased(KeyEvent) - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
+
The listener method for receiving keyboard events (keystrokes).
+
+
keyReleased(KeyEvent) - Method in class unifeat.gui.featureSelection.filter.LaplacianScorePanel
+
+
The listener method for receiving keyboard events (keystrokes).
+
+
keyReleased(KeyEvent) - Method in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
+
The listener method for receiving keyboard events (keystrokes).
+
+
keyReleased(KeyEvent) - Method in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
+
The listener method for receiving keyboard events (keystrokes).
+
+
keyReleased(KeyEvent) - Method in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
+
The listener method for receiving keyboard events (keystrokes).
+
+
keyReleased(KeyEvent) - Method in class unifeat.gui.featureSelection.filter.RRFSPanel
+
+
The listener method for receiving keyboard events (keystrokes).
+
+
keyReleased(KeyEvent) - Method in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
+
The listener method for receiving keyboard events (keystrokes).
+
+
keyReleased(KeyEvent) - Method in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
+
The listener method for receiving keyboard events (keystrokes).
+
+
keyReleased(KeyEvent) - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
+
The listener method for receiving keyboard events (keystrokes).
+
+
keyReleased(KeyEvent) - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.OptimalACOPanel
+
+
The listener method for receiving keyboard events (keystrokes).
+
+
keyReleased(KeyEvent) - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
The listener method for receiving keyboard events (keystrokes).
+
+
keyReleased(KeyEvent) - Method in class unifeat.gui.featureSelection.wrapper.GABased.HGAFSPanel
+
+
The listener method for receiving keyboard events (keystrokes).
+
+
keyReleased(KeyEvent) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
The listener method for receiving keyboard events (keystrokes).
+
+
keyReleased(KeyEvent) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.CPSOPanel
+
+
The listener method for receiving keyboard events (keystrokes).
+
+
keyReleased(KeyEvent) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.HPSO_LSPanel
+
+
The listener method for receiving keyboard events (keystrokes).
+
+
keyReleased(KeyEvent) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.PSO42Panel
+
+
The listener method for receiving keyboard events (keystrokes).
+
+
keyReleased(KeyEvent) - Method in class unifeat.gui.ParameterPanel
+
+
The listener method for receiving keyboard events (keystrokes).
+
+
keyTyped(KeyEvent) - Method in class unifeat.gui.ParameterPanel
+
+
The listener method for receiving keyboard events (keystrokes).
+
+
kFolds - Variable in class unifeat.featureSelection.FitnessEvaluator
+
 
+
kFolds - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
kFolds - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
kFolds - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
kFoldValue - Variable in class unifeat.featureSelection.embedded.SVMBasedMethods.MSVM_RFE
+
 
+
KNearest - Variable in class unifeat.gui.featureSelection.filter.LaplacianScorePanel
+
 
+
KNearest - Variable in class unifeat.gui.MainPanel
+
 
+
kNN(String, int, int) - Static method in class unifeat.classifier.evaluation.wekaClassifier.CrossValidation
+
+
This method builds and evaluates the k-nearest neighbours(knn) + classifier.
+
+
kNN(String, String, int) - Static method in class unifeat.classifier.evaluation.wekaClassifier.TrainTestEvaluation
+
+
This method builds and evaluates the k-nearest neighbours(knn) + classifier.
+
+
KNN - Static variable in class unifeat.classifier.ClassifierType
+
 
+
KNNClassifierPanel - Class in unifeat.gui.classifier
+
+
This java class is used to create and show a panel for the parameter settings + of the k-nearest neighbours classifier.
+
+
KNNClassifierPanel() - Constructor for class unifeat.gui.classifier.KNNClassifierPanel
+
+
Creates new form KNNClassifierPanel.
+
+
knnEvaluationPanel - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
knnEvaluationPanel - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
knnEvaluationPanel - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
knnEvaluationPanel - Variable in class unifeat.gui.MainPanel
+
 
+
kNNValue - Variable in class unifeat.gui.classifier.KNNClassifierPanel
+
 
+
+

L

+
+
LAPLACIAN_SCORE - Static variable in class unifeat.featureSelection.filter.FilterType
+
 
+
LaplacianScore - Class in unifeat.featureSelection.filter.supervised
+
+
This java class is used to implement the Laplacian score method.
+
+
LaplacianScore - Class in unifeat.featureSelection.filter.unsupervised
+
+
This java class is used to implement the Laplacian score method.
+
+
LaplacianScore(int, double) - Constructor for class unifeat.featureSelection.filter.supervised.LaplacianScore
+
+
Initializes the parameters
+
+
LaplacianScore(int, double, int) - Constructor for class unifeat.featureSelection.filter.unsupervised.LaplacianScore
+
+
Initializes the parameters
+
+
LaplacianScore(Object...) - Constructor for class unifeat.featureSelection.filter.supervised.LaplacianScore
+
+
Initializes the parameters
+
+
LaplacianScore(Object...) - Constructor for class unifeat.featureSelection.filter.unsupervised.LaplacianScore
+
+
Initializes the parameters
+
+
LaplacianScorePanel - Class in unifeat.gui.featureSelection.filter
+
+
This java class is used to create and show a panel for the parameter settings + of the Laplacian score method.
+
+
LaplacianScorePanel() - Constructor for class unifeat.gui.featureSelection.filter.LaplacianScorePanel
+
+
Creates new form LaplacianScorePanel.
+
+
lbl_about - Variable in class unifeat.gui.menu.PreprocessPanel
+
 
+
lbl_about - Variable in class unifeat.gui.ParameterPanel
+
 
+
lbl_alpha - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
lbl_alpha - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
lbl_alpha - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
lbl_alpha - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.HPSO_LSPanel
+
 
+
lbl_alphaError - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
lbl_alphaError - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
lbl_alphaError - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
lbl_alphaError - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.HPSO_LSPanel
+
 
+
lbl_author - Variable in class unifeat.gui.menu.AboutPanel
+
 
+
lbl_authorVal - Variable in class unifeat.gui.menu.AboutPanel
+
 
+
lbl_beta - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
lbl_beta - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
lbl_beta - Variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
lbl_beta - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
lbl_beta - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
lbl_beta - Variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
lbl_beta - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
lbl_betaError - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
lbl_betaError - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
lbl_betaError - Variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
lbl_betaError - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
lbl_betaError - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
lbl_betaError - Variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
lbl_betaError - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
lbl_c1 - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
lbl_c1Error - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
lbl_c2 - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
lbl_c2Error - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
lbl_chi_square - Variable in class unifeat.gui.menu.FriedmanPanel
+
 
+
lbl_chi_squareVal - Variable in class unifeat.gui.menu.FriedmanPanel
+
 
+
lbl_classifier - Variable in class unifeat.gui.MainPanel
+
 
+
lbl_classifierType - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
lbl_classifierType - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
lbl_classifierType - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
lbl_classlabel - Variable in class unifeat.gui.MainPanel
+
 
+
lbl_classlbl - Variable in class unifeat.gui.MainPanel
+
 
+
lbl_colonySize - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
lbl_colonySizeError - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
lbl_confidence - Variable in class unifeat.gui.classifier.DTClassifierPanel
+
 
+
lbl_confidence - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
lbl_confidenceError - Variable in class unifeat.gui.classifier.DTClassifierPanel
+
 
+
lbl_confidenceError - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
lbl_constParam - Variable in class unifeat.gui.featureSelection.filter.LaplacianScorePanel
+
 
+
lbl_constParamError - Variable in class unifeat.gui.featureSelection.filter.LaplacianScorePanel
+
 
+
lbl_criticalVal1 - Variable in class unifeat.gui.menu.FriedmanPanel
+
 
+
lbl_criticalVal2 - Variable in class unifeat.gui.menu.FriedmanPanel
+
 
+
lbl_criticalVal3 - Variable in class unifeat.gui.menu.FriedmanPanel
+
 
+
lbl_criticalVal4 - Variable in class unifeat.gui.menu.FriedmanPanel
+
 
+
lbl_criticalVal5 - Variable in class unifeat.gui.menu.FriedmanPanel
+
 
+
lbl_criticalVal6 - Variable in class unifeat.gui.menu.FriedmanPanel
+
 
+
lbl_crossoverRate - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
lbl_crossoverRateError - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
lbl_crossoverType - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
lbl_dataset - Variable in class unifeat.gui.MainPanel
+
 
+
lbl_descrip - Variable in class unifeat.gui.menu.AboutPanel
+
 
+
lbl_elimination - Variable in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
 
+
lbl_eliminationError - Variable in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
 
+
lbl_embedded - Variable in class unifeat.gui.MainPanel
+
 
+
lbl_endPosInterval - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
lbl_endPosIntervalError - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
lbl_epsilon - Variable in class unifeat.gui.featureSelection.wrapper.GABased.HGAFSPanel
+
 
+
lbl_epsilon - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.HPSO_LSPanel
+
 
+
lbl_epsilonError - Variable in class unifeat.gui.featureSelection.wrapper.GABased.HGAFSPanel
+
 
+
lbl_epsilonError - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.HPSO_LSPanel
+
 
+
lbl_evRate - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
lbl_evRate - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
lbl_evRate - Variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
lbl_evRate - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
lbl_evRate - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
lbl_evRate - Variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
lbl_evRate - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
lbl_evRateError - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
lbl_evRateError - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
lbl_evRateError - Variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
lbl_evRateError - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
lbl_evRateError - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
lbl_evRateError - Variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
lbl_evRateError - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
lbl_fdistribution - Variable in class unifeat.gui.menu.FriedmanPanel
+
 
+
lbl_fdistributionVal - Variable in class unifeat.gui.menu.FriedmanPanel
+
 
+
lbl_footer_1 - Variable in class unifeat.gui.menu.AboutPanel
+
 
+
lbl_footer_2 - Variable in class unifeat.gui.menu.AboutPanel
+
 
+
lbl_footer_3 - Variable in class unifeat.gui.menu.AboutPanel
+
 
+
lbl_home - Variable in class unifeat.gui.menu.AboutPanel
+
 
+
lbl_homVal - Variable in class unifeat.gui.menu.AboutPanel
+
 
+
lbl_hybrid - Variable in class unifeat.gui.MainPanel
+
 
+
lbl_inertiaWeight - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
lbl_inertiaWeightError - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
lbl_initPheromone - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
lbl_initPheromone - Variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
lbl_initPheromone - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
lbl_initPheromone - Variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
lbl_initPheromone - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.OptimalACOPanel
+
 
+
lbl_initPheromoneError - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
lbl_initPheromoneError - Variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
lbl_initPheromoneError - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
lbl_initPheromoneError - Variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
lbl_initPheromoneError - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.OptimalACOPanel
+
 
+
lbl_inputdst - Variable in class unifeat.gui.MainPanel
+
 
+
lbl_inputFile - Variable in class unifeat.gui.menu.PreprocessPanel
+
 
+
lbl_insertFile - Variable in class unifeat.gui.menu.FriedmanPanel
+
 
+
lbl_kernel - Variable in class unifeat.gui.classifier.svmClassifier.SVMClassifierPanel
+
 
+
lbl_kernel - Variable in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
 
+
lbl_kFolds - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
lbl_kFolds - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
lbl_kFolds - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
lbl_kFoldsError - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
lbl_kFoldsError - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
lbl_kFoldsError - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
lbl_KNearest - Variable in class unifeat.gui.featureSelection.filter.LaplacianScorePanel
+
 
+
lbl_KNearestError - Variable in class unifeat.gui.featureSelection.filter.LaplacianScorePanel
+
 
+
lbl_kNNValue - Variable in class unifeat.gui.classifier.KNNClassifierPanel
+
 
+
lbl_kNNValueError - Variable in class unifeat.gui.classifier.KNNClassifierPanel
+
 
+
lbl_License - Variable in class unifeat.gui.menu.AboutPanel
+
 
+
lbl_logo - Variable in class unifeat.gui.menu.AboutPanel
+
 
+
lbl_maxDepth - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
lbl_maxDepthError - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
lbl_maxVelocity - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
lbl_maxVelocityError - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
lbl_minNum - Variable in class unifeat.gui.classifier.DTClassifierPanel
+
 
+
lbl_minNum - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
lbl_minNumError - Variable in class unifeat.gui.classifier.DTClassifierPanel
+
 
+
lbl_minNumError - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
lbl_minVelocity - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
lbl_minVelocityError - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
lbl_mu - Variable in class unifeat.gui.featureSelection.wrapper.GABased.HGAFSPanel
+
 
+
lbl_muError - Variable in class unifeat.gui.featureSelection.wrapper.GABased.HGAFSPanel
+
 
+
lbl_multivalMethod - Variable in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
 
+
lbl_mutationRate - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
lbl_mutationRateError - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
lbl_mutationType - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
lbl_name - Variable in class unifeat.gui.menu.AboutPanel
+
 
+
lbl_nameUni - Variable in class unifeat.gui.menu.AboutPanel
+
 
+
lbl_numAnts - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
lbl_numAnts - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
lbl_numAnts - Variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
lbl_numAnts - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
lbl_numAnts - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
lbl_numAnts - Variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
lbl_numAntsError - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
lbl_numAntsError - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
lbl_numAntsError - Variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
lbl_numAntsError - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
lbl_numAntsError - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
lbl_numAntsError - Variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
lbl_numDataset - Variable in class unifeat.gui.menu.FriedmanPanel
+
 
+
lbl_numDatasetVal - Variable in class unifeat.gui.menu.FriedmanPanel
+
 
+
lbl_numFeature - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
lbl_numFeature - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
lbl_numFeature - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
lbl_numFeature - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
lbl_numFeature - Variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
lbl_numFeatureError - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
lbl_numFeatureError - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
lbl_numFeatureError - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
lbl_numFeatureError - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
lbl_numFeatureError - Variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
lbl_numFold - Variable in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
 
+
lbl_numFoldError - Variable in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
 
+
lbl_numIteration - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
lbl_numIteration - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
lbl_numIteration - Variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
lbl_numIteration - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
lbl_numIteration - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
lbl_numIteration - Variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
lbl_numIteration - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
lbl_numIteration - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
lbl_numIteration - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
lbl_numIterationError - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
lbl_numIterationError - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
lbl_numIterationError - Variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
lbl_numIterationError - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
lbl_numIterationError - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
lbl_numIterationError - Variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
lbl_numIterationError - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
lbl_numIterationError - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
lbl_numIterationError - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
lbl_numMethod - Variable in class unifeat.gui.menu.FriedmanPanel
+
 
+
lbl_numMethodVal - Variable in class unifeat.gui.menu.FriedmanPanel
+
 
+
lbl_numRun - Variable in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
 
+
lbl_numRunError - Variable in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
 
+
lbl_numSelection - Variable in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
 
+
lbl_numSelectionError - Variable in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
 
+
lbl_parameterC - Variable in class unifeat.gui.classifier.svmClassifier.SVMClassifierPanel
+
 
+
lbl_parameterC - Variable in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
 
+
lbl_parameterCError - Variable in class unifeat.gui.classifier.svmClassifier.SVMClassifierPanel
+
 
+
lbl_parameterCError - Variable in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
 
+
lbl_path - Variable in class unifeat.gui.ProjectPath
+
 
+
lbl_phi - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.OptimalACOPanel
+
 
+
lbl_phiError - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.OptimalACOPanel
+
 
+
lbl_populationSize - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
lbl_populationSize - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
lbl_populationSizeError - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
lbl_populationSizeError - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
lbl_posInterval - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
lbl_q0 - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
lbl_q0 - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
lbl_q0 - Variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
lbl_q0 - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
lbl_q0 - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
lbl_q0 - Variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
lbl_q0Error - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
lbl_q0Error - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
lbl_q0Error - Variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
lbl_q0Error - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
lbl_q0Error - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
lbl_q0Error - Variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
lbl_randomForestNumFeatures - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
lbl_randomForestNumFeaturesError - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
lbl_randomForestNumIterations - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
lbl_randomForestNumIterationsError - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
lbl_randomTreeKValue - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
lbl_randomTreeKValueError - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
lbl_randomTreeMaxDepth - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
lbl_randomTreeMaxDepthError - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
lbl_randomTreeMinNum - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
lbl_randomTreeMinNumError - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
lbl_randomTreeMinVarianceProp - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
lbl_randomTreeMinVariancePropError - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
lbl_replacementType - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
lbl_select - Variable in class unifeat.gui.ProjectPath
+
 
+
lbl_selectionType - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
lbl_selectMode - Variable in class unifeat.gui.menu.selectMode.SelectModePanel
+
 
+
lbl_similarity - Variable in class unifeat.gui.featureSelection.filter.RRFSPanel
+
 
+
lbl_similarityError - Variable in class unifeat.gui.featureSelection.filter.RRFSPanel
+
 
+
lbl_sizeSubspace - Variable in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
 
+
lbl_sizeSubspaceError - Variable in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
 
+
lbl_start - Variable in class unifeat.gui.MainPanel
+
 
+
lbl_startPosInterval - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
lbl_startPosIntervalError - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
lbl_sup - Variable in class unifeat.gui.MainPanel
+
 
+
lbl_testSet - Variable in class unifeat.gui.MainPanel
+
 
+
lbl_theta - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.CPSOPanel
+
 
+
lbl_theta - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.PSO42Panel
+
 
+
lbl_thetaError - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.CPSOPanel
+
 
+
lbl_thetaError - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.PSO42Panel
+
 
+
lbl_title - Variable in class unifeat.gui.ParameterPanel
+
 
+
lbl_trainSet - Variable in class unifeat.gui.MainPanel
+
 
+
lbl_treeType - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
lbl_unsup - Variable in class unifeat.gui.MainPanel
+
 
+
lbl_velocityInterval - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
lbl_ver - Variable in class unifeat.gui.menu.AboutPanel
+
 
+
lbl_verVal - Variable in class unifeat.gui.menu.AboutPanel
+
 
+
lbl_worthOfVal - Variable in class unifeat.gui.menu.FriedmanPanel
+
 
+
lbl_wrapper - Variable in class unifeat.gui.MainPanel
+
 
+
LIST_CASES - Variable in class unifeat.gui.menu.DiagramPanel
+
 
+
LIST_ITERATION - Variable in class unifeat.gui.menu.DiagramPanel
+
 
+
loadDataSet(double[][], int, int) - Method in class unifeat.featureSelection.embedded.EmbeddedApproach
+
+
Loads the dataset
+
+
loadDataSet(double[][], int, int) - Method in class unifeat.featureSelection.FeatureSelection
+
+
Loads the dataset
+
+
loadDataSet(double[][], int, int) - Method in class unifeat.featureSelection.wrapper.WrapperApproach
+
+
Loads the dataset
+
+
loadDataSet(DatasetInfo) - Method in class unifeat.featureSelection.embedded.EmbeddedApproach
+
+
Loads the dataset
+
+
loadDataSet(DatasetInfo) - Method in class unifeat.featureSelection.FeatureSelection
+
+
Loads the dataset
+
+
loadDataSet(DatasetInfo) - Method in class unifeat.featureSelection.wrapper.WrapperApproach
+
+
Loads the dataset
+
+
log2(double) - Static method in class unifeat.util.MathFunc
+
+
Returns the base 2 logarithm of a double value
+
+
+

M

+
+
main(String[]) - Static method in class unifeat.gui.ProjectPath
+
+
This method is the main method to start the tool.
+
+
mainPanel - Variable in class unifeat.gui.ProjectPath
+
 
+
MainPanel - Class in unifeat.gui
+
+
This java class is used to create and show the main panel of the project.
+
+
MainPanel(String) - Constructor for class unifeat.gui.MainPanel
+
+
Creates new form MainPanel.
+
+
MainPanel.Counter - Class in unifeat.gui
+
+
This class is used to create a thread
+
+
MainPanel.EventHandler - Class in unifeat.gui
+
+
The event handler class for handling action events.
+
+
MathFunc - Class in unifeat.util
+
+
This java class is used to implement various utility methods for performing + basic statistical operation such as the mean and variance.
+
+
MathFunc() - Constructor for class unifeat.util.MathFunc
+
 
+
matingPool - Variable in class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.Population
+
 
+
matingPool - Variable in class unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA.Population
+
 
+
MAX_ITERATION - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_1
+
 
+
MAX_ITERATION - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
 
+
MAX_ITERATION - Variable in class unifeat.featureSelection.filter.unsupervised.MGSACO
+
 
+
MAX_ITERATION - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_1
+
 
+
MAX_ITERATION - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_2
+
 
+
MAX_ITERATION - Variable in class unifeat.featureSelection.filter.unsupervised.UFSACO
+
 
+
MAX_SIM_VALUE - Variable in class unifeat.featureSelection.filter.supervised.RRFS
+
 
+
MAX_SIM_VALUE - Variable in class unifeat.featureSelection.filter.unsupervised.RRFS
+
 
+
MAX_VELOCITY - Static variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicSwarm
+
 
+
maxDepth - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
maxDepth - Variable in class unifeat.gui.MainPanel
+
 
+
maxValue - Variable in class unifeat.gui.menu.DiagramPanel
+
 
+
maxVelocity - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
measures - Variable in class unifeat.result.performanceMeasure.PerformanceMeasures
+
 
+
menuBar - Variable in class unifeat.gui.MainPanel
+
 
+
menuBar - Variable in class unifeat.gui.menu.DiagramPanel
+
 
+
MGSACO - Class in unifeat.featureSelection.filter.unsupervised
+
+
This java class is used to implement the microarray gene selection based on + ant colony optimization (MGSACO) method.
+
+
MGSACO - Static variable in class unifeat.featureSelection.filter.FilterType
+
 
+
MGSACO(int, double, int, int, double, double, double) - Constructor for class unifeat.featureSelection.filter.unsupervised.MGSACO
+
+
Initializes the parameters
+
+
MGSACO(Object...) - Constructor for class unifeat.featureSelection.filter.unsupervised.MGSACO
+
+
Initializes the parameters
+
+
MGSACOPanel - Class in unifeat.gui.featureSelection.filter
+
+
This java class is used to create and show a panel for the parameter settings + of the microarray gene selection based on ant colony optimization (MGSACO) + method.
+
+
MGSACOPanel() - Constructor for class unifeat.gui.featureSelection.filter.MGSACOPanel
+
+
Creates new form MGSACOPanel.
+
+
mi_about - Variable in class unifeat.gui.MainPanel
+
 
+
mi_aboutActionPerformed(ActionEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the mi_about menu item.
+
+
mi_accur - Variable in class unifeat.gui.MainPanel
+
 
+
mi_accurActionPerformed(ActionEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the mi_accur menu item.
+
+
mi_close - Variable in class unifeat.gui.menu.DiagramPanel
+
 
+
mi_closeActionPerformed(ActionEvent) - Method in class unifeat.gui.menu.DiagramPanel
+
+
This method sets an action for the mi_close button.
+
+
mi_error - Variable in class unifeat.gui.MainPanel
+
 
+
mi_errorActionPerformed(ActionEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the mi_error menu item.
+
+
mi_exeTime - Variable in class unifeat.gui.MainPanel
+
 
+
mi_exeTimeActionPerformed(ActionEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the mi_exeTime menu item.
+
+
mi_exit - Variable in class unifeat.gui.MainPanel
+
 
+
mi_exitActionPerformed(ActionEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the mi_exit menu item.
+
+
mi_friedman - Variable in class unifeat.gui.MainPanel
+
 
+
mi_friedmanActionPerformed(ActionEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the mi_friedman menu item.
+
+
mi_help - Variable in class unifeat.gui.MainPanel
+
 
+
mi_helpActionPerformed(ActionEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the mi_help menu item.
+
+
mi_preprocess - Variable in class unifeat.gui.MainPanel
+
 
+
mi_preprocessActionPerformed(ActionEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the mi_preprocess menu item.
+
+
mi_save - Variable in class unifeat.gui.menu.DiagramPanel
+
 
+
mi_saveActionPerformed(ActionEvent) - Method in class unifeat.gui.menu.DiagramPanel
+
+
This method sets an action for the mi_save button.
+
+
mi_saveAs - Variable in class unifeat.gui.menu.DiagramPanel
+
 
+
mi_saveAsActionPerformed(ActionEvent) - Method in class unifeat.gui.menu.DiagramPanel
+
+
This method sets an action for the mi_saveAs button.
+
+
MIN_VELOCITY - Static variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicSwarm
+
 
+
minNum - Variable in class unifeat.gui.classifier.DTClassifierPanel
+
 
+
minNum - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
minNum - Variable in class unifeat.gui.MainPanel
+
 
+
minNumSampleInLeaf - Variable in class unifeat.featureSelection.embedded.TreeBasedMethods.DecisionTreeBasedMethod
+
 
+
minValue - Variable in class unifeat.gui.menu.DiagramPanel
+
 
+
minVelocity - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
model - Variable in class unifeat.gui.menu.FriedmanPanel
+
 
+
MoreOpPanel - Class in unifeat.gui
+
+
This java class is used to create and show a panel for the "more option" + button of the feature selection methods.
+
+
MoreOpPanel(String) - Constructor for class unifeat.gui.MoreOpPanel
+
+
Creates new form MoreOpPanel.
+
+
moreOptionDescription - Variable in class unifeat.gui.ParameterPanel
+
 
+
mouseClicked(MouseEvent) - Method in class unifeat.gui.menu.AboutPanel
+
+
The listener method for receiving interesting mouse events on a + component.
+
+
mouseDragged(MouseEvent) - Method in class unifeat.gui.menu.DiagramPanel
+
+
The listener method for receiving mouse motion events on a component.
+
+
mouseEntered(MouseEvent) - Method in class unifeat.gui.menu.AboutPanel
+
+
The listener method for receiving interesting mouse events on a + component.
+
+
mouseExited(MouseEvent) - Method in class unifeat.gui.menu.AboutPanel
+
+
The listener method for receiving interesting mouse events on a + component.
+
+
mouseMoved(MouseEvent) - Method in class unifeat.gui.menu.DiagramPanel
+
+
The listener method for receiving mouse motion events on a component.
+
+
mousePressed(MouseEvent) - Method in class unifeat.gui.menu.AboutPanel
+
+
The listener method for receiving interesting mouse events on a + component.
+
+
mouseReleased(MouseEvent) - Method in class unifeat.gui.menu.AboutPanel
+
+
The listener method for receiving interesting mouse events on a + component.
+
+
MRMR - Class in unifeat.featureSelection.filter.supervised
+
+
This java class is used to implement the minimal redundancy maximal + relevance (mRMR) method.
+
+
MRMR - Static variable in class unifeat.featureSelection.filter.FilterType
+
 
+
MRMR(int) - Constructor for class unifeat.featureSelection.filter.supervised.MRMR
+
+
Initializes the parameters
+
+
MRMR(Object...) - Constructor for class unifeat.featureSelection.filter.supervised.MRMR
+
+
Initializes the parameters
+
+
MSVM_RFE - Class in unifeat.featureSelection.embedded.SVMBasedMethods
+
+
This java class is used to implement MSVM_RFE method for binary + classification based on SVM_RFE method (support vector machine method based + on recursive feature elimination) in which multiple linear SVMs trained on + subsamples of the original training data.
+
+
MSVM_RFE - Static variable in class unifeat.featureSelection.embedded.EmbeddedType
+
 
+
MSVM_RFE(Object...) - Constructor for class unifeat.featureSelection.embedded.SVMBasedMethods.MSVM_RFE
+
+
Initializes the parameters
+
+
MSVM_RFE(String, SVMKernelType, double, int, int) - Constructor for class unifeat.featureSelection.embedded.SVMBasedMethods.MSVM_RFE
+
+
Initializes the parameters
+
+
MSVM_RFEPanel - Class in unifeat.gui.featureSelection.embedded
+
+
This java class is used to create and show a panel for the parameter settings + of the multiple support vector machine method based on recursive feature + elimination (MSVM_RFE).
+
+
MSVM_RFEPanel() - Constructor for class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
+
Creates new form MSVM_RFEPanel.
+
+
msvmFeatureSelectionPanel - Variable in class unifeat.gui.MainPanel
+
 
+
mu - Variable in class unifeat.gui.featureSelection.wrapper.GABased.HGAFSPanel
+
 
+
MU - Static variable in class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.Population
+
 
+
multivariateApproach(double[][]) - Method in class unifeat.featureSelection.filter.unsupervised.RSM
+
+
Selects the top feature with size THRESHOLD_ELIMINATION by given method
+
+
MultivariateMethodType - Class in unifeat.gui.featureSelection.filter.rsm
+
+
This java class is used to define the names of multivariate method used in + RSM feature selection method.
+
+
MultivariateMethodType(String) - Constructor for class unifeat.gui.featureSelection.filter.rsm.MultivariateMethodType
+
+
Creates new MultivariateMethodType.
+
+
multMatrix(double[][], double[][]) - Static method in class unifeat.util.MathFunc
+
+
Computes the multiple of two matrices
+
+
multMethodName - Variable in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
 
+
multMethodName - Variable in class unifeat.gui.MainPanel
+
 
+
multThreeMatrix(double[][], double[][], double[][]) - Method in class unifeat.featureSelection.filter.supervised.LaplacianScore
+
+
Chaining multiple three matrix
+
+
multThreeMatrix(double[][], double[][], double[][]) - Method in class unifeat.featureSelection.filter.unsupervised.LaplacianScore
+
+
Chaining multiple three matrix
+
+
MUTATION_RATE - Static variable in class unifeat.featureSelection.wrapper.GABasedMethods.BasicPopulation
+
 
+
MUTATION_TYPE - Static variable in class unifeat.featureSelection.wrapper.GABasedMethods.BasicPopulation
+
 
+
MutationOperator - Class in unifeat.featureSelection.wrapper.GABasedMethods
+
+
This java class is used to implement various mutation operators for mutating + new offsprings by changing the value of some genes in them.
+
+
MutationOperator() - Constructor for class unifeat.featureSelection.wrapper.GABasedMethods.MutationOperator
+
 
+
mutationRate - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
mutationType - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
MutationType - Class in unifeat.gui.featureSelection.wrapper.GABased
+
+
This java class is used to define the names of different implementation of + mutation.
+
+
MutationType(String) - Constructor for class unifeat.gui.featureSelection.wrapper.GABased.MutationType
+
+
Creates new MutationType.
+
+
MutationType(String, int) - Constructor for class unifeat.gui.featureSelection.wrapper.GABased.MutationType
+
+
Creates new MutationType.
+
+
MUTUAL_CORRELATION - Static variable in class unifeat.featureSelection.filter.FilterType
+
 
+
MUTUAL_CORRELATION - Static variable in class unifeat.gui.featureSelection.filter.rsm.MultivariateMethodType
+
 
+
MutualCorrelation - Class in unifeat.featureSelection.filter.unsupervised
+
+
This java class is used to implement the mutual correlation method.
+
+
MutualCorrelation(int) - Constructor for class unifeat.featureSelection.filter.unsupervised.MutualCorrelation
+
+
Initializes the parameters
+
+
MutualCorrelation(Object...) - Constructor for class unifeat.featureSelection.filter.unsupervised.MutualCorrelation
+
+
Initializes the parameters
+
+
+

N

+
+
naiveBayes(String, int) - Static method in class unifeat.classifier.evaluation.wekaClassifier.CrossValidation
+
+
This method builds and evaluates the naiveBayes(NB) classifier.
+
+
naiveBayes(String, String) - Static method in class unifeat.classifier.evaluation.wekaClassifier.TrainTestEvaluation
+
+
This method builds and evaluates the naiveBayes(NB) classifier.
+
+
name - Variable in class unifeat.featureSelection.EnumType
+
 
+
NAME_DIAGRAM - Variable in class unifeat.gui.menu.DiagramPanel
+
 
+
NAME_LEGEND_LABEL - Variable in class unifeat.gui.menu.DiagramPanel
+
 
+
NAME_MAIN_PANEL - Variable in class unifeat.gui.menu.DiagramPanel
+
 
+
NAME_MULTI_APPROACH - Variable in class unifeat.featureSelection.filter.unsupervised.RSM
+
 
+
NAME_Y_AXIS - Variable in class unifeat.gui.menu.DiagramPanel
+
 
+
nameFeatures - Variable in class unifeat.dataset.DatasetInfo
+
 
+
nameFeatures - Variable in class unifeat.featureSelection.embedded.EmbeddedApproach
+
 
+
nameFeatures - Variable in class unifeat.featureSelection.FitnessEvaluator
+
 
+
nameFeatures - Variable in class unifeat.featureSelection.wrapper.WrapperApproach
+
 
+
nameMode - Variable in class unifeat.gui.menu.selectMode.SelectModePanel
+
 
+
NB - Static variable in class unifeat.classifier.ClassifierType
+
 
+
newMethod(EmbeddedType, Object...) - Static method in class unifeat.featureSelection.embedded.EmbeddedApproach
+
+
This method creates new object from one of the classes that has been + inherited from the EmbeddedApproach class according to type of the feature + selection method.
+
+
newMethod(FilterType, boolean, Object...) - Static method in class unifeat.featureSelection.filter.FilterApproach
+
+
This method creates new object from one of the classes that has been + inherited from the FilterApproach class according to type of the feature + selection method.
+
+
newMethod(FilterType, boolean, Object...) - Static method in class unifeat.featureSelection.filter.WeightedFilterApproach
+
+
This method creates new object from one of the classes that has been + inherited from the WeightedFilterApproach class according to type of the + feature selection method.
+
+
newMethod(HybridType, Object...) - Static method in class unifeat.featureSelection.hybrid.HybridApproach
+
+
This method creates new object from one of the classes that has been + inherited from the HybridApproach class according to type of the feature + selection method.
+
+
newMethod(WrapperType, Object...) - Static method in class unifeat.featureSelection.wrapper.WrapperApproach
+
+
This method creates new object from one of the classes that has been + inherited from the WrapperApproach class according to type of the feature + selection method.
+
+
NONE - Static variable in class unifeat.classifier.ClassifierType
+
 
+
NONE - Static variable in class unifeat.featureSelection.embedded.EmbeddedType
+
 
+
NONE - Static variable in class unifeat.featureSelection.filter.FilterType
+
 
+
NONE - Static variable in class unifeat.featureSelection.hybrid.HybridType
+
 
+
NONE - Static variable in class unifeat.featureSelection.wrapper.WrapperType
+
 
+
NONE - Static variable in class unifeat.gui.classifier.svmClassifier.SVMKernelType
+
 
+
NONE - Static variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.TreeType
+
 
+
NONE - Static variable in class unifeat.gui.featureSelection.filter.rsm.MultivariateMethodType
+
 
+
NONE - Static variable in class unifeat.gui.featureSelection.wrapper.GABased.CrossOverType
+
 
+
NONE - Static variable in class unifeat.gui.featureSelection.wrapper.GABased.MutationType
+
 
+
NONE - Static variable in class unifeat.gui.featureSelection.wrapper.GABased.ReplacementType
+
 
+
NONE - Static variable in class unifeat.gui.featureSelection.wrapper.GABased.SelectionType
+
 
+
NONE - Static variable in class unifeat.gui.menu.selectMode.SelectModeType
+
 
+
NONE - Static variable in class unifeat.result.ResultType
+
 
+
NonWeightedFilterType - Class in unifeat.featureSelection.filter
+
+
This java class is used to define the names of non weighted filter-based + feature selection methods.
+
+
NonWeightedFilterType(String) - Constructor for class unifeat.featureSelection.filter.NonWeightedFilterType
+
+
Creates new NonWeightedFilterType.
+
+
normalizeVector(double[]) - Static method in class unifeat.util.MathFunc
+
+
Normalizes values of the vector
+
+
NUM_ANTS - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_1
+
 
+
NUM_ANTS - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
 
+
NUM_ANTS - Variable in class unifeat.featureSelection.filter.unsupervised.MGSACO
+
 
+
NUM_ANTS - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_1
+
 
+
NUM_ANTS - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_2
+
 
+
NUM_ANTS - Variable in class unifeat.featureSelection.filter.unsupervised.UFSACO
+
 
+
NUM_FEAT_OF_ANT - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_1
+
 
+
NUM_FEAT_OF_ANT - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
 
+
NUM_FEAT_OF_ANT - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_1
+
 
+
NUM_FEAT_OF_ANT - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_2
+
 
+
NUM_FEAT_OF_ANT - Variable in class unifeat.featureSelection.filter.unsupervised.UFSACO
+
 
+
NUM_ITERATION - Variable in class unifeat.featureSelection.filter.unsupervised.RSM
+
 
+
NUM_ITERATION - Variable in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicACO
+
 
+
NUM_ITERATION - Variable in class unifeat.featureSelection.wrapper.GABasedMethods.BasicGA
+
 
+
NUM_ITERATION - Variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicPSO
+
 
+
NUM_ORIGINAL_FEATURE - Static variable in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicColony
+
 
+
numAnts - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
numAnts - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
numAnts - Variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
numAnts - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
numAnts - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
numAnts - Variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
numAnts - Variable in class unifeat.gui.MainPanel
+
 
+
numClass - Variable in class unifeat.dataset.DatasetInfo
+
 
+
numClass - Variable in class unifeat.featureSelection.FeatureSelection
+
 
+
numData - Variable in class unifeat.dataset.DatasetInfo
+
 
+
numFeatOfAnt - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
numFeatOfAnt - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
numFeatOfAnt - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
numFeatOfAnt - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
numFeatOfAnt - Variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
numFeatOfAnt - Variable in class unifeat.gui.MainPanel
+
 
+
numFeature - Variable in class unifeat.dataset.DatasetInfo
+
 
+
numFeatures - Variable in class unifeat.featureSelection.FeatureSelection
+
 
+
numFold - Variable in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
 
+
numIteration - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
numIteration - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
numIteration - Variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
numIteration - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
numIteration - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
numIteration - Variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
numIteration - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
numIteration - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
numIteration - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
numIteration - Variable in class unifeat.gui.MainPanel
+
 
+
numRun - Variable in class unifeat.featureSelection.embedded.SVMBasedMethods.MSVM_RFE
+
 
+
numRun - Variable in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
 
+
numRuns - Variable in class unifeat.result.Results
+
 
+
numSelectedFeature - Variable in class unifeat.featureSelection.FeatureSelection
+
 
+
numSelectedFeatures() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.BasicIndividual
+
+
This method returns the number of selected features by the individual + based on its gene vector.
+
+
numSelectedFeatures() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.Individual
+
+
This method returns the number of selected features by the individual + based on its gene vector.
+
+
numSelectedFeatures() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA.Individual
+
+
This method returns the number of selected features by the individual + based on its gene vector.
+
+
numSelectedFeatures() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicParticle
+
+
This method returns the number of selected features by the particle based + on position vector.
+
+
numSelectedFeatures() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BPSO.Particle
+
+
This method returns the number of selected features by the particle based + on position vector.
+
+
numSelectedFeatures() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.CPSO.Particle
+
+
This method returns the number of selected features by the particle based + on position vector.
+
+
numSelectedFeatures() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS.Particle
+
+
This method returns the number of selected features by the particle based + on position vector.
+
+
numSelectedFeatures() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42.Particle
+
+
This method returns the number of selected features by the particle based + on position vector.
+
+
numSelectedFeatures(Double[]) - Static method in class unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42.Particle
+
+
This method returns the number of selected features by the particle based + on personal best position vector.
+
+
numSelectedSubsets - Variable in class unifeat.gui.MainPanel
+
 
+
numSelectedSubsets - Variable in class unifeat.result.Results
+
 
+
numSelection - Variable in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
 
+
numSelection - Variable in class unifeat.gui.MainPanel
+
 
+
numTestSet - Variable in class unifeat.dataset.DatasetInfo
+
 
+
numTrainSet - Variable in class unifeat.dataset.DatasetInfo
+
 
+
+

O

+
+
ONE_POINT_CROSS_OVER - Static variable in class unifeat.gui.featureSelection.wrapper.GABased.CrossOverType
+
 
+
onePointCrossover(boolean[], boolean[]) - Static method in class unifeat.featureSelection.wrapper.GABasedMethods.CrossoverOperator
+
+
Recombines (cross over) the two parents to generate new offsprings using + one-point crossover
+
+
onePointCrossover(double[], double[]) - Static method in class unifeat.featureSelection.wrapper.GABasedMethods.CrossoverOperator
+
+
Recombines (cross over) the two parents to generate new offsprings using + one-point crossover
+
+
onePointCrossover(GeneType[], GeneType[]) - Static method in class unifeat.featureSelection.wrapper.GABasedMethods.CrossoverOperator
+
+
Recombines (cross over) the two parents to generate new offsprings using + one-point crossover
+
+
openURL(String) - Method in class unifeat.gui.menu.AboutPanel
+
+
Opens default browser using the given URL
+
+
operateCrossOver() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.BasicPopulation
+
+
This method recombines (cross over) the parents to generate new + offsprings.
+
+
operateCrossOver() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.Population
+
+
This method recombines (cross over) the parents to generate new + offsprings.
+
+
operateCrossOver() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA.Population
+
+
This method recombines (cross over) the parents to generate new + offsprings.
+
+
operateGenerationReplacement() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.BasicPopulation
+
+
This method handles populations from one generation to the next + generation.
+
+
operateGenerationReplacement() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.Population
+
+
This method handles populations from one generation to the next + generation.
+
+
operateGenerationReplacement() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA.Population
+
+
This method handles populations from one generation to the next + generation.
+
+
operateLocalSearch() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.Population
+
+
This method performs a local search strategy on each individual which is + based on correlation of features.
+
+
operateLocalSearch() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS.Swarm
+
+
This method performs a local search strategy on each particle which is + based on correlation of features.
+
+
operateMutation() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.BasicPopulation
+
+
This method mutates new offsprings by changing the value of some genes in + them.
+
+
operateMutation() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.Population
+
+
This method mutates new offsprings by changing the value of some genes in + them.
+
+
operateMutation() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA.Population
+
+
This method mutates new offsprings by changing the value of some genes in + them.
+
+
operatePheromoneUpdateRule() - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicColony
+
+
This method updates the current pheromone values by decreasing pheromone + concentrations and then deposit the quantity of pheromone by ants.
+
+
operatePheromoneUpdateRule() - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO.Colony
+
+
This method updates the current pheromone values by decreasing pheromone + concentrations and then deposit the quantity of pheromone by ants.
+
+
operateSelection() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.BasicPopulation
+
+
This method selects parents from the individuals of a population + according to their fitness that will recombine for next generation.
+
+
operateSelection() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.Population
+
+
This method selects parents from the individuals of a population + according to their fitness that will recombine for next generation.
+
+
operateSelection() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA.Population
+
+
This method selects parents from the individuals of a population + according to their fitness that will recombine for next generation.
+
+
operateStateTransitionRule(int) - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicColony
+
+
This method selects the next state and adds it to the current selected + feature subset by using state transition rule that is combination of + heuristic desirability and pheromone levels.
+
+
operateStateTransitionRule(int) - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO.Colony
+
+
This method selects the next state and adds it to the current selected + feature subset by using state transition rule that is combination of + heuristic desirability and pheromone levels.
+
+
OPTIMAL_ACO - Static variable in class unifeat.featureSelection.wrapper.WrapperType
+
 
+
OptimalACO - Class in unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO
+
+
This java class is used to implement feature selection method based on + optimal ant colony optimization (Optimal ACO) in which the type of Colony is + extended from Colony class.
+
+
OptimalACO(Object...) - Constructor for class unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO.OptimalACO
+
+
Initializes the parameters
+
+
optimalACOFeatSelectionPanel - Variable in class unifeat.gui.MainPanel
+
 
+
OptimalACOPanel - Class in unifeat.gui.featureSelection.wrapper.ACOBased
+
+
This java class is used to create and show a panel for the parameter settings + of the optimal ant colony optimization (OptimalACO) method.
+
+
OptimalACOPanel() - Constructor for class unifeat.gui.featureSelection.wrapper.ACOBased.OptimalACOPanel
+
+
Creates new form OptimalACOPanel.
+
+
originalData - Variable in class unifeat.dataset.DatasetInfo
+
 
+
originalFeatureSet() - Method in class unifeat.featureSelection.embedded.EmbeddedApproach
+
+
This method creates an array of indices of features and returns it.
+
+
originalFeatureSet() - Method in class unifeat.featureSelection.wrapper.WrapperApproach
+
+
This method creates an array of indices of features and returns it.
+
+
OVA_SVM_RFE - Class in unifeat.featureSelection.embedded.SVMBasedMethods
+
+
This java class is used to implement OVA_SVM_RFE method for multiclass + classification based on SVM_RFE method (support vector machine method based + on recursive feature elimination) in which One-Versus-All (OVA) strategy is + applied to construct binary classifiers.
+
+
OVA_SVM_RFE - Static variable in class unifeat.featureSelection.embedded.EmbeddedType
+
 
+
OVA_SVM_RFE(Object...) - Constructor for class unifeat.featureSelection.embedded.SVMBasedMethods.OVA_SVM_RFE
+
+
Initializes the parameters
+
+
OVA_SVM_RFE(String, SVMKernelType, double) - Constructor for class unifeat.featureSelection.embedded.SVMBasedMethods.OVA_SVM_RFE
+
+
Initializes the parameters
+
+
OVO_SVM_RFE - Class in unifeat.featureSelection.embedded.SVMBasedMethods
+
+
This java class is used to implement OVO_SVM_RFE method for multiclass + classification based on SVM_RFE method (support vector machine method based + on recursive feature elimination) in which One-Versus-One (OVO) strategy is + applied to construct binary classifiers.
+
+
OVO_SVM_RFE - Static variable in class unifeat.featureSelection.embedded.EmbeddedType
+
 
+
OVO_SVM_RFE(Object...) - Constructor for class unifeat.featureSelection.embedded.SVMBasedMethods.OVO_SVM_RFE
+
+
Initializes the parameters
+
+
OVO_SVM_RFE(String, SVMKernelType, double) - Constructor for class unifeat.featureSelection.embedded.SVMBasedMethods.OVO_SVM_RFE
+
+
Initializes the parameters
+
+
+

P

+
+
paint(Graphics) - Method in class unifeat.gui.MainPanel
+
+
Recreates MainPanel based on the updated progress bar value.
+
+
paintComponent(Graphics) - Method in class unifeat.gui.menu.DiagramPanel
+
+
This method is used to show the diagram.
+
+
panel_about - Variable in class unifeat.gui.menu.PreprocessPanel
+
 
+
panel_about - Variable in class unifeat.gui.ParameterPanel
+
 
+
panel_classifier - Variable in class unifeat.gui.MainPanel
+
 
+
panel_config - Variable in class unifeat.gui.MainPanel
+
 
+
panel_criticalValTbl - Variable in class unifeat.gui.menu.FriedmanPanel
+
 
+
panel_delimiter - Variable in class unifeat.gui.menu.PreprocessPanel
+
 
+
panel_embedded - Variable in class unifeat.gui.MainPanel
+
 
+
panel_featureMethod - Variable in class unifeat.gui.MainPanel
+
 
+
panel_filePath - Variable in class unifeat.gui.MainPanel
+
 
+
panel_filter - Variable in class unifeat.gui.MainPanel
+
 
+
panel_footer - Variable in class unifeat.gui.menu.AboutPanel
+
 
+
panel_friedman - Variable in class unifeat.gui.menu.FriedmanPanel
+
 
+
panel_hybrid - Variable in class unifeat.gui.MainPanel
+
 
+
panel_numFeat - Variable in class unifeat.gui.MainPanel
+
 
+
panel_randomSet - Variable in class unifeat.gui.MainPanel
+
 
+
panel_ttSet - Variable in class unifeat.gui.MainPanel
+
 
+
panel_wrapper - Variable in class unifeat.gui.MainPanel
+
 
+
parameterC - Variable in class unifeat.featureSelection.embedded.SVMBasedMethods.SVMBasedMethods
+
 
+
parameterC - Variable in class unifeat.gui.classifier.svmClassifier.SVMClassifierPanel
+
 
+
parameterC - Variable in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
 
+
ParameterPanel - Class in unifeat.gui
+
+
The abstract class contains the main methods and fields that are used to + create and show a panel for the parameter settings.
+
+
ParameterPanel() - Constructor for class unifeat.gui.ParameterPanel
+
+
Creates new form ParameterPanel.
+
+
ParameterPanel(String, String, String, String, Rectangle, Rectangle, Rectangle, Rectangle, Dimension) - Constructor for class unifeat.gui.ParameterPanel
+
+
Creates new form ParameterPanel.
+
+
parse(String) - Static method in class unifeat.classifier.ClassifierType
+
+
Converts the classifier name to ClassifierType
+
+
parse(String) - Static method in class unifeat.featureSelection.embedded.EmbeddedType
+
+
Converts the embedded method name to EmbeddedType
+
+
parse(String) - Static method in class unifeat.featureSelection.filter.FilterType
+
+
Converts the filter method name to FilterType
+
+
parse(String) - Static method in class unifeat.featureSelection.hybrid.HybridType
+
+
Converts the hybrid method name to HybridType
+
+
parse(String) - Static method in class unifeat.featureSelection.wrapper.WrapperType
+
+
Converts the wrapper method name to WrapperType
+
+
parse(String) - Static method in class unifeat.gui.classifier.svmClassifier.SVMKernelType
+
+
Converts the kernel name to SVMKernelType
+
+
parse(String) - Static method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.TreeType
+
+
Converts the tree name to TreeType
+
+
parse(String) - Static method in class unifeat.gui.featureSelection.filter.rsm.MultivariateMethodType
+
+
Converts the multivariate method name to MultivariateMethodType
+
+
parse(String) - Static method in class unifeat.gui.featureSelection.wrapper.GABased.CrossOverType
+
+
Converts the crossover name to CrossOverType
+
+
parse(String) - Static method in class unifeat.gui.featureSelection.wrapper.GABased.MutationType
+
+
Converts the mutation name to MutationType
+
+
parse(String) - Static method in class unifeat.gui.featureSelection.wrapper.GABased.ReplacementType
+
+
Converts the replacement name to ReplacementType
+
+
parse(String) - Static method in class unifeat.gui.featureSelection.wrapper.GABased.SelectionType
+
+
Converts the selection name to SelectionType
+
+
parse(String) - Static method in class unifeat.gui.menu.selectMode.SelectModeType
+
+
Converts the select mode name to SelectModeType
+
+
parse(String) - Static method in class unifeat.result.ResultType
+
+
Converts the result name to ResultType
+
+
parse(SVMKernelType) - Static method in class unifeat.classifier.WekaSVMKernel
+
+
This method return the weka SVM kernel type according to the unifeat SVM + kernel type.
+
+
Particle - Class in unifeat.featureSelection.wrapper.PSOBasedMethods.BPSO
+
+
This java class is used to represent a particle in binary particle swarm + optimization (BPSO) method in which the type of position vector is boolean + and the type of velocity vector is double.
+
+
Particle - Class in unifeat.featureSelection.wrapper.PSOBasedMethods.CPSO
+
+
This java class is used to represent a particle in continuous particle swarm + optimization (CPSO) method in which the type of position and velocity vectors + are double.
+
+
Particle - Class in unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS
+
+
This java class is used to represent a particle in hybrid particle swarm + optimization method using local search (HPSO-LS) in which the type of + position vector is boolean and the type of velocity vector is double.
+
+
Particle - Class in unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42
+
+
This java class is used to represent a particle in particle swarm + optimization version 4-2(PSO(4-2)) method in which the type of position and + velocity vectors are double.
+
+
Particle(int) - Constructor for class unifeat.featureSelection.wrapper.PSOBasedMethods.BPSO.Particle
+
+
Initializes the parameters
+
+
Particle(int) - Constructor for class unifeat.featureSelection.wrapper.PSOBasedMethods.CPSO.Particle
+
+
Initializes the parameters
+
+
Particle(int) - Constructor for class unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS.Particle
+
+
Initializes the parameters
+
+
Particle(int) - Constructor for class unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42.Particle
+
+
Initializes the parameters
+
+
path - Variable in class unifeat.gui.ProjectPath
+
 
+
PATH_DATA_ARFF - Variable in class unifeat.gui.MainPanel
+
 
+
PATH_DATA_ARFF - Variable in class unifeat.result.Results
+
 
+
PATH_DATA_CSV - Variable in class unifeat.gui.MainPanel
+
 
+
PATH_DATA_CSV - Variable in class unifeat.result.Results
+
 
+
PATH_PROJECT - Variable in class unifeat.gui.MainPanel
+
 
+
PATH_PROJECT - Variable in class unifeat.gui.menu.DiagramPanel
+
 
+
PATH_PROJECT - Variable in class unifeat.result.Results
+
 
+
pathData - Variable in class unifeat.dataset.DatasetInfo
+
 
+
pathLabel - Variable in class unifeat.dataset.DatasetInfo
+
 
+
pathProject - Variable in class unifeat.gui.ResultPanel
+
 
+
pathTestSet - Variable in class unifeat.dataset.DatasetInfo
+
 
+
pBest - Variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicParticle
+
 
+
pBestFitness - Variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicParticle
+
 
+
PEARSON_VII - Static variable in class unifeat.gui.classifier.svmClassifier.SVMKernelType
+
 
+
PERFORMANCE_MEASURES - Static variable in class unifeat.result.ResultType
+
 
+
performanceMeasures - Variable in class unifeat.result.Results
+
 
+
PerformanceMeasures - Class in unifeat.result.performanceMeasure
+
+
This java class is used to save all performance measure values obtained from + different runs of given feature selection method.
+
+
PerformanceMeasures(int, int) - Constructor for class unifeat.result.performanceMeasure.PerformanceMeasures
+
+
Initializes the parameters
+
+
performBestSubset - Variable in class unifeat.featureSelection.filter.unsupervised.MGSACO
+
 
+
permutation(int[], int) - Method in class unifeat.featureSelection.filter.unsupervised.RSM
+
+
Permutes the index of features
+
+
pheromone - Variable in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicGraphRepresentation
+
 
+
pheromoneUpdatingRule() - Method in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_1
+
+
Updates intensity of pheromone values
+
+
pheromoneUpdatingRule() - Method in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
+
Updates intensity of pheromone values
+
+
pheromoneUpdatingRule() - Method in class unifeat.featureSelection.filter.unsupervised.MGSACO
+
+
Updates intensity of pheromone values
+
+
pheromoneUpdatingRule() - Method in class unifeat.featureSelection.filter.unsupervised.RRFSACO_1
+
+
Updates intensity of pheromone values
+
+
pheromoneUpdatingRule() - Method in class unifeat.featureSelection.filter.unsupervised.RRFSACO_2
+
+
Updates intensity of pheromone values
+
+
pheromoneUpdatingRule() - Method in class unifeat.featureSelection.filter.unsupervised.UFSACO
+
+
Updates intensity of pheromone values
+
+
pheromoneValues - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_1
+
 
+
pheromoneValues - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
 
+
pheromoneValues - Variable in class unifeat.featureSelection.filter.unsupervised.MGSACO
+
 
+
pheromoneValues - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_1
+
 
+
pheromoneValues - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_2
+
 
+
pheromoneValues - Variable in class unifeat.featureSelection.filter.unsupervised.UFSACO
+
 
+
phi - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.OptimalACOPanel
+
 
+
PHI - Static variable in class unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO.Colony
+
 
+
POLYNOMIAL - Static variable in class unifeat.gui.classifier.svmClassifier.SVMKernelType
+
 
+
population - Variable in class unifeat.featureSelection.wrapper.GABasedMethods.BasicGA
+
 
+
population - Variable in class unifeat.featureSelection.wrapper.GABasedMethods.BasicPopulation
+
 
+
population - Variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicSwarm
+
 
+
Population - Class in unifeat.featureSelection.wrapper.GABasedMethods.HGAFS
+
+
This java class is used to implement a population of individuals in hybrid + genetic algorithm for feature selection using local search (HGAFS) in which + the type of individual is extended from Individual class.
+
+
Population - Class in unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA
+
+
This java class is used to implement a population of individuals in simple + genetic algorithm (Simple GA) method in which the type of individual is + extended from Individual class.
+
+
Population() - Constructor for class unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA.Population
+
+
Initializes the parameters
+
+
Population(double, double) - Constructor for class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.Population
+
+
Initializes the parameters
+
+
POPULATION_SIZE - Static variable in class unifeat.featureSelection.wrapper.GABasedMethods.BasicPopulation
+
 
+
POPULATION_SIZE - Static variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicSwarm
+
 
+
populationSize - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
populationSize - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
position - Variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicParticle
+
 
+
preProcessing(String, String) - Method in class unifeat.dataset.DatasetInfo
+
+
This is used to read dataset and class label files, split datasets and + set their values
+
+
preProcessing(String, String, String) - Method in class unifeat.dataset.DatasetInfo
+
+
This is used to read datasets and class labels, split datasets and set + their values
+
+
PreprocessPanel - Class in unifeat.gui.menu
+
+
This java class is used to create and show a panel for preprocessing of the + datasets.
+
+
PreprocessPanel() - Constructor for class unifeat.gui.menu.PreprocessPanel
+
+
Creates new form PreprocessPanel.
+
+
printErrorMessages() - Method in class unifeat.gui.MainPanel
+
+
This method prints the error messages due to unselected or incorrect + input values in the dataset, parameter settings, classifier, and run + configuration panels
+
+
PROB_CHOOSE_EQUATION - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_1
+
 
+
PROB_CHOOSE_EQUATION - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
 
+
PROB_CHOOSE_EQUATION - Variable in class unifeat.featureSelection.filter.unsupervised.MGSACO
+
 
+
PROB_CHOOSE_EQUATION - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_1
+
 
+
PROB_CHOOSE_EQUATION - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_2
+
 
+
PROB_CHOOSE_EQUATION - Variable in class unifeat.featureSelection.filter.unsupervised.UFSACO
+
 
+
probFeature - Variable in class unifeat.featureSelection.filter.supervised.MRMR
+
 
+
PROBLEM_DIMENSION - Static variable in class unifeat.featureSelection.wrapper.GABasedMethods.BasicPopulation
+
 
+
PROBLEM_DIMENSION - Static variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicSwarm
+
 
+
probRule(int) - Method in class unifeat.featureSelection.filter.unsupervised.MGSACO
+
+
Probability state transition rule
+
+
probRule(int) - Method in class unifeat.featureSelection.filter.unsupervised.RRFSACO_1
+
+
Probability state transition rule
+
+
probRule(int) - Method in class unifeat.featureSelection.filter.unsupervised.RRFSACO_2
+
+
Probability state transition rule
+
+
probRule(int) - Method in class unifeat.featureSelection.filter.unsupervised.UFSACO
+
+
Probability state transition rule
+
+
probRule(int, int) - Method in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_1
+
+
Probability state transition rule
+
+
probRule(int, int) - Method in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
+
Probability state transition rule
+
+
progressBar - Variable in class unifeat.gui.MainPanel
+
 
+
progressValue - Variable in class unifeat.gui.MainPanel
+
 
+
PROJECT_PATH - Variable in class unifeat.featureSelection.embedded.EmbeddedApproach
+
 
+
PROJECT_PATH - Variable in class unifeat.featureSelection.wrapper.WrapperApproach
+
 
+
ProjectPath - Class in unifeat.gui
+
+
This java class is used to create and show a panel for the selecting path for + the project.
+
+
ProjectPath() - Constructor for class unifeat.gui.ProjectPath
+
+
Creates new form ProjectPath.
+
+
PSO42 - Class in unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42
+
+
This java class is used to implement feature selection method based on + particle swarm optimization version 4-2(PSO(4-2)) with new initialization + strategy and updating rule in which the type of Swarm is extended from Swarm + class.
+
+
PSO42 - Static variable in class unifeat.featureSelection.wrapper.WrapperType
+
 
+
PSO42(Object...) - Constructor for class unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42.PSO42
+
+
Initializes the parameters
+
+
pso42FeatSelectionPanel - Variable in class unifeat.gui.MainPanel
+
 
+
PSO42Panel - Class in unifeat.gui.featureSelection.wrapper.PSOBased
+
+
This java class is used to create and show a panel for the parameter settings + of the particle swarm optimization version 4-2 (PSO(4-2)) method.
+
+
PSO42Panel() - Constructor for class unifeat.gui.featureSelection.wrapper.PSOBased.PSO42Panel
+
+
Creates new form PSO42Panel.
+
+
+

Q

+
+
q0 - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
q0 - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
q0 - Variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
q0 - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
q0 - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
q0 - Variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
q0 - Variable in class unifeat.gui.MainPanel
+
 
+
+

R

+
+
rand - Variable in class unifeat.dataset.DatasetInfo
+
 
+
rand - Variable in class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.Population
+
 
+
rand - Variable in class unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA.Population
+
 
+
rand - Variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.BPSO.Swarm
+
 
+
rand - Variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.CPSO.Swarm
+
 
+
rand - Variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS.Swarm
+
 
+
rand - Variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42.Swarm
+
 
+
RANDOM_FOREST - Static variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.TreeType
+
 
+
RANDOM_FOREST_METHOD - Static variable in class unifeat.featureSelection.embedded.EmbeddedType
+
 
+
RANDOM_FOREST_MORE_BUTTON_POSITION - Static variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
RANDOM_FOREST_MORE_OPTION - Static variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
RANDOM_FOREST_OK_BUTTON_POSITION - Static variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
RANDOM_FOREST_PANEL_SIZE - Static variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
RANDOM_TREE - Static variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.TreeType
+
 
+
RANDOM_TREE_MORE_BUTTON_POSITION - Static variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
RANDOM_TREE_MORE_OPTION - Static variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
RANDOM_TREE_OK_BUTTON_POSITION - Static variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
RANDOM_TREE_PANEL_SIZE - Static variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
randomForestMaxDepth - Variable in class unifeat.featureSelection.embedded.TreeBasedMethods.RandomForestMethod
+
 
+
RandomForestMethod - Class in unifeat.featureSelection.embedded.TreeBasedMethods
+
+
This java class is used to implement the random forest based method for + feature selection.
+
+
RandomForestMethod(Object...) - Constructor for class unifeat.featureSelection.embedded.TreeBasedMethods.RandomForestMethod
+
+
Initializes the parameters
+
+
RandomForestMethod(String, int, int, int) - Constructor for class unifeat.featureSelection.embedded.TreeBasedMethods.RandomForestMethod
+
+
Initializes the parameters
+
+
randomForestNumFeatures - Variable in class unifeat.featureSelection.embedded.TreeBasedMethods.RandomForestMethod
+
 
+
randomForestNumFeatures - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
randomForestNumFeatures - Variable in class unifeat.gui.MainPanel
+
 
+
randomForestNumIterations - Variable in class unifeat.featureSelection.embedded.TreeBasedMethods.RandomForestMethod
+
 
+
randomForestNumIterations - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
randomForestNumIterations - Variable in class unifeat.gui.MainPanel
+
 
+
randomize(double[][]) - Static method in class unifeat.util.MathFunc
+
+
Shuffles a given array using Fisher–Yates shuffle Algorithm
+
+
randomize(T[]) - Static method in class unifeat.util.MathFunc
+
+
Shuffles a given array using Fisher–Yates shuffle Algorithm
+
+
randomTreeKValue - Variable in class unifeat.featureSelection.embedded.TreeBasedMethods.DecisionTreeBasedMethod
+
 
+
randomTreeKValue - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
randomTreeKValue - Variable in class unifeat.gui.MainPanel
+
 
+
randomTreeMaxDepth - Variable in class unifeat.featureSelection.embedded.TreeBasedMethods.DecisionTreeBasedMethod
+
 
+
randomTreeMaxDepth - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
randomTreeMaxDepth - Variable in class unifeat.gui.MainPanel
+
 
+
randomTreeMinNum - Variable in class unifeat.featureSelection.embedded.TreeBasedMethods.DecisionTreeBasedMethod
+
 
+
randomTreeMinNum - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
randomTreeMinNum - Variable in class unifeat.gui.MainPanel
+
 
+
randomTreeMinVarianceProp - Variable in class unifeat.featureSelection.embedded.TreeBasedMethods.DecisionTreeBasedMethod
+
 
+
randomTreeMinVarianceProp - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
randomTreeMinVarianceProp - Variable in class unifeat.gui.MainPanel
+
 
+
RANK_BASED_SELECTION - Static variable in class unifeat.gui.featureSelection.wrapper.GABased.SelectionType
+
 
+
rankBasedSelection(double[], int) - Static method in class unifeat.featureSelection.wrapper.GABasedMethods.SelectionOperator
+
+
Selects parents from the individuals of a population according to their + fitness values using rank-based selection method in which roulette wheel + algorithm is used for selecting each individual based on their ranks
+
+
RBF - Static variable in class unifeat.gui.classifier.svmClassifier.SVMKernelType
+
 
+
rd_average - Variable in class unifeat.gui.menu.selectMode.SelectModePanel
+
 
+
rd_comma - Variable in class unifeat.gui.menu.PreprocessPanel
+
 
+
rd_randSet - Variable in class unifeat.gui.MainPanel
+
 
+
rd_randSetItemStateChanged(ItemEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the rd_randSet radio button.
+
+
rd_semicolon - Variable in class unifeat.gui.menu.PreprocessPanel
+
 
+
rd_space - Variable in class unifeat.gui.menu.PreprocessPanel
+
 
+
rd_tab - Variable in class unifeat.gui.menu.PreprocessPanel
+
 
+
rd_total - Variable in class unifeat.gui.menu.selectMode.SelectModePanel
+
 
+
rd_ttset - Variable in class unifeat.gui.MainPanel
+
 
+
rd_ttsetSetItemStateChanged(ItemEvent) - Method in class unifeat.gui.MainPanel
+
+
This method sets an action for the rd_ttsetSet radio button.
+
+
readExample1() - Method in class unifeat.dataset.DatasetInfo
+
+
This method reads the dataset
+
+
readExample2() - Method in class unifeat.dataset.DatasetInfo
+
+
This method reads the train/test sets
+
+
readLabel() - Method in class unifeat.dataset.DatasetInfo
+
+
This method reads the class labels of the samples
+
+
relevanceFeature - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_1
+
 
+
relevanceFeature - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
 
+
relevanceFeature - Variable in class unifeat.featureSelection.filter.unsupervised.MGSACO
+
 
+
relevanceFeature - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_1
+
 
+
relevanceFeature - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_2
+
 
+
removeComponents(TreeType) - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
This method removes components from the main panel based on type of the + tree
+
+
removeComponentsC45() - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
This method removes c4.5 components from the main panel
+
+
removeComponentsRandomForest() - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
This method removes random forest components from the main panel
+
+
removeComponentsRandomTree() - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
This method removes random tree components from the main panel
+
+
removeFeature(int) - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicAnt
+
+
This method removes a specific feature of the current selected feature + subset by the ant.
+
+
removeTreeType(Object...) - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
Removes a list of tree types from a combobox
+
+
REPLACEMENT_TYPE - Static variable in class unifeat.featureSelection.wrapper.GABasedMethods.BasicPopulation
+
 
+
replacementType - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
ReplacementType - Class in unifeat.gui.featureSelection.wrapper.GABased
+
+
This java class is used to define the names of different implementation of + generation replacement.
+
+
ReplacementType(String) - Constructor for class unifeat.gui.featureSelection.wrapper.GABased.ReplacementType
+
+
Creates new ReplacementType.
+
+
ReplacementType(String, int) - Constructor for class unifeat.gui.featureSelection.wrapper.GABased.ReplacementType
+
+
Creates new ReplacementType.
+
+
ResultPanel - Class in unifeat.gui
+
+
This java class is used to create and show a panel for showing the results.
+
+
ResultPanel(String) - Constructor for class unifeat.gui.ResultPanel
+
+
Creates new form ResultPanel.
+
+
Results - Class in unifeat.result
+
+
This java class is used to implement various methods for showing the results + in the result panel.
+
+
Results(DatasetInfo, int, int, String, Object, Object, Object) - Constructor for class unifeat.result.Results
+
+
Initializes the parameters
+
+
ResultType - Class in unifeat.result
+
+
This java class is used to define the types of result.
+
+
ResultType(String) - Constructor for class unifeat.result.ResultType
+
+
Creates new ResultType.
+
+
RHO - Static variable in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicColony
+
 
+
rouletteWheel(double[]) - Static method in class unifeat.featureSelection.wrapper.GABasedMethods.SelectionOperator
+
+
Selects an individual in a population according to their probabilities + using roulette wheel algorithm
+
+
roundDouble(double, int) - Static method in class unifeat.util.MathFunc
+
+
Rounds the argument value to a double value with given number of + floating-point
+
+
RRFS - Class in unifeat.featureSelection.filter.supervised
+
+
This java class is used to implement the relevance-redundancy feature + selection(RRFS) method.
+
+
RRFS - Class in unifeat.featureSelection.filter.unsupervised
+
+
This java class is used to implement the relevance-redundancy feature + selection(RRFS) method.
+
+
RRFS - Static variable in class unifeat.featureSelection.filter.FilterType
+
 
+
RRFS(int, double) - Constructor for class unifeat.featureSelection.filter.supervised.RRFS
+
+
Initializes the parameters
+
+
RRFS(int, double) - Constructor for class unifeat.featureSelection.filter.unsupervised.RRFS
+
+
Initializes the parameters
+
+
RRFS(Object...) - Constructor for class unifeat.featureSelection.filter.supervised.RRFS
+
+
Initializes the parameters
+
+
RRFS(Object...) - Constructor for class unifeat.featureSelection.filter.unsupervised.RRFS
+
+
Initializes the parameters
+
+
RRFSACO_1 - Class in unifeat.featureSelection.filter.unsupervised
+
+
This java class is used to implement the relevance–redundancy feature + selection based on ant colony optimization, version1 (RRFSACO_1) method.
+
+
RRFSACO_1 - Static variable in class unifeat.featureSelection.filter.FilterType
+
 
+
RRFSACO_1(int, int, int, int, double, double, double) - Constructor for class unifeat.featureSelection.filter.unsupervised.RRFSACO_1
+
+
Initializes the parameters
+
+
RRFSACO_1(Object...) - Constructor for class unifeat.featureSelection.filter.unsupervised.RRFSACO_1
+
+
Initializes the parameters
+
+
RRFSACO_1Panel - Class in unifeat.gui.featureSelection.filter
+
+
This java class is used to create and show a panel for the parameter settings + of the relevance–redundancy feature selection based on ant colony + optimization, version1 (RRFSACO_1) method.
+
+
RRFSACO_1Panel() - Constructor for class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
+
Creates new form RRFSACO_1Panel.
+
+
RRFSACO_2 - Class in unifeat.featureSelection.filter.unsupervised
+
+
This java class is used to implement the relevance–redundancy feature + selection based on ant colony optimization, version2 (RRFSACO_2) method.
+
+
RRFSACO_2 - Static variable in class unifeat.featureSelection.filter.FilterType
+
 
+
RRFSACO_2(int, double, int, int, int, double, double, double, double) - Constructor for class unifeat.featureSelection.filter.unsupervised.RRFSACO_2
+
+
Initializes the parameters
+
+
RRFSACO_2(Object...) - Constructor for class unifeat.featureSelection.filter.unsupervised.RRFSACO_2
+
+
Initializes the parameters
+
+
RRFSACO_2Panel - Class in unifeat.gui.featureSelection.filter
+
+
This java class is used to create and show a panel for the parameter settings + of the relevance–redundancy feature selection based on ant colony + optimization, version2 (RRFSACO_2) method.
+
+
RRFSACO_2Panel() - Constructor for class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
+
Creates new form RRFSACO_2Panel.
+
+
RRFSPanel - Class in unifeat.gui.featureSelection.filter
+
+
This java class is used to create and show a panel for the parameter settings + of the relevance-redundancy feature selection(RRFS) method.
+
+
RRFSPanel() - Constructor for class unifeat.gui.featureSelection.filter.RRFSPanel
+
+
Creates new form RRFSPanel.
+
+
RSM - Class in unifeat.featureSelection.filter.unsupervised
+
+
This java class is used to implement the random subspace method(RSM) method.
+
+
RSM - Static variable in class unifeat.featureSelection.filter.FilterType
+
 
+
RSM(int, int, int, int, MultivariateMethodType) - Constructor for class unifeat.featureSelection.filter.unsupervised.RSM
+
+
Initializes the parameters
+
+
RSM(Object...) - Constructor for class unifeat.featureSelection.filter.unsupervised.RSM
+
+
Initializes the parameters
+
+
RSMPanel - Class in unifeat.gui.featureSelection.filter.rsm
+
+
This java class is used to create and show a panel for the parameter settings + of the random subspace method (RSM) method.
+
+
RSMPanel() - Constructor for class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
+
Creates new form RSMPanel.
+
+
run() - Method in class unifeat.gui.MainPanel.Counter
+
+
This method takes any action whatsoever.
+
+
runCode - Variable in class unifeat.gui.MainPanel
+
 
+
+

S

+
+
sc_feature - Variable in class unifeat.gui.MainPanel
+
 
+
scroll - Variable in class unifeat.gui.MoreOpPanel
+
 
+
scroll - Variable in class unifeat.gui.ResultPanel
+
 
+
scroll_tbl - Variable in class unifeat.gui.menu.FriedmanPanel
+
 
+
seedValue - Variable in class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.Population
+
 
+
seedValue - Variable in class unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA.Population
+
 
+
seedValue - Variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.BPSO.Swarm
+
 
+
seedValue - Variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.CPSO.Swarm
+
 
+
seedValue - Variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS.Swarm
+
 
+
seedValue - Variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42.Swarm
+
 
+
SELECTED_FEATURE_SUBSET - Static variable in class unifeat.result.ResultType
+
 
+
selectedClassifierPan - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
selectedClassifierPan - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
selectedClassifierPan - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
selectedEvaluationClassifierPanel - Variable in class unifeat.featureSelection.FitnessEvaluator
+
 
+
selectedEvaluationClassifierPanel - Variable in class unifeat.gui.MainPanel
+
 
+
selectedEvaluationClassifierPanel - Variable in class unifeat.result.Results
+
 
+
selectedFeaturesSubset() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.BasicIndividual
+
+
This method returns the indices of selected features by the individual + based on its gene vector.
+
+
selectedFeaturesSubset() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.Individual
+
+
This method returns the indices of selected features by the individual + based on its gene vector.
+
+
selectedFeaturesSubset() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA.Individual
+
+
This method returns the indices of selected features by the individual + based on its gene vector.
+
+
selectedFeaturesSubset() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicParticle
+
+
This method returns the indices of selected features by the particle + based on position vector.
+
+
selectedFeaturesSubset() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BPSO.Particle
+
+
This method returns the indices of selected features by the particle + based on position vector.
+
+
selectedFeaturesSubset() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.CPSO.Particle
+
+
This method returns the indices of selected features by the particle + based on position vector.
+
+
selectedFeaturesSubset() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS.Particle
+
+
This method returns the indices of selected features by the particle + based on position vector.
+
+
selectedFeaturesSubset() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42.Particle
+
+
This method returns the indices of selected features by the particle + based on position vector.
+
+
selectedFeatureSubset - Variable in class unifeat.featureSelection.FeatureSelection
+
 
+
selectedFeatureSubset(String) - Method in class unifeat.featureSelection.embedded.TreeBasedMethods.DecisionTreeBasedMethod
+
+
Finds the feature subset from the nodes of the created tree (Used for C4.5 + and Random Tree)
+
+
selectedFeatureSubset(String) - Method in class unifeat.featureSelection.embedded.TreeBasedMethods.RandomForestMethod
+
+
Finds the feature subset from the nodes of the created tree (Used for + Random Forest)
+
+
selectedFeatureSubset(String) - Method in class unifeat.featureSelection.embedded.TreeBasedMethods.TreeBasedMethods
+
+
Finds the feature subset from the nodes of the created tree
+
+
selectedFeatureSubsets - Variable in class unifeat.result.Results
+
 
+
SELECTION_TYPE - Static variable in class unifeat.featureSelection.wrapper.GABasedMethods.BasicPopulation
+
 
+
SelectionOperator - Class in unifeat.featureSelection.wrapper.GABasedMethods
+
+
This java class is used to implement various selection operators for + selecting parents from the individuals of a population according to their + fitness that will recombine for next generation.
+
+
SelectionOperator() - Constructor for class unifeat.featureSelection.wrapper.GABasedMethods.SelectionOperator
+
 
+
selectionType - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
SelectionType - Class in unifeat.gui.featureSelection.wrapper.GABased
+
+
This java class is used to define the names of different implementation of + selection.
+
+
SelectionType(String) - Constructor for class unifeat.gui.featureSelection.wrapper.GABased.SelectionType
+
+
Creates new SelectionType.
+
+
SelectionType(String, int) - Constructor for class unifeat.gui.featureSelection.wrapper.GABased.SelectionType
+
+
Creates new SelectionType.
+
+
SelectModePanel - Class in unifeat.gui.menu.selectMode
+
+
This java class is used to create and show a panel for the selecting mode of + showing the results.
+
+
SelectModePanel() - Constructor for class unifeat.gui.menu.selectMode.SelectModePanel
+
+
Creates new form SelectModePanel.
+
+
SelectModeType - Class in unifeat.gui.menu.selectMode
+
+
This java class is used to define the names of select mode used in the result
+
+
SelectModeType(String) - Constructor for class unifeat.gui.menu.selectMode.SelectModeType
+
+
Creates new SelectModeType.
+
+
sep_file - Variable in class unifeat.gui.MainPanel
+
 
+
sep_help - Variable in class unifeat.gui.MainPanel
+
 
+
setAccuracy(double) - Method in class unifeat.result.performanceMeasure.Criteria
+
+
This method sets the accuracy value.
+
+
setAlpha(double) - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
+
This method sets the alpha value.
+
+
setAlpha(double) - Method in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
+
This method sets the alpha value.
+
+
setAlpha(double) - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
+
This method sets the alpha value.
+
+
setAlpha(double) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.HPSO_LSPanel
+
+
This method sets the alpha value.
+
+
setBeta(double) - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
+
This method sets the beta value.
+
+
setBeta(double) - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
+
This method sets the beta value.
+
+
setBeta(double) - Method in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
+
This method sets the beta value.
+
+
setBeta(double) - Method in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
+
This method sets the beta value.
+
+
setBeta(double) - Method in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
+
This method sets the beta value.
+
+
setBeta(double) - Method in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
+
This method sets the beta value.
+
+
setBeta(double) - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
+
This method sets the beta value.
+
+
setC1(double) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
This method sets the c1 value.
+
+
setC2(double) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
This method sets the c2 value.
+
+
setClassifierType(ClassifierType) - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
+
This method sets the selected classifier type.
+
+
setClassifierType(ClassifierType) - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method sets the selected classifier type.
+
+
setClassifierType(ClassifierType) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
This method sets the selected classifier type.
+
+
setColonySize(int) - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
+
This method sets the size of colony value.
+
+
setConfidence(double) - Method in class unifeat.gui.classifier.DTClassifierPanel
+
+
This method sets the confidence factor value.
+
+
setConfidence(double) - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
This method sets the confidence factor value.
+
+
setConstParam(double) - Method in class unifeat.gui.featureSelection.filter.LaplacianScorePanel
+
+
This method sets the const parameter value.
+
+
setCountSteps(int) - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO.Ant
+
+
This method sets the count steps of the ant.
+
+
setCriteria(int, int, Criteria) - Method in class unifeat.result.performanceMeasure.PerformanceMeasures
+
+
Sets the obtained criteria values from feature selection method
+
+
setCrossoverRate(double) - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method sets the crossover rate value.
+
+
setCrossOverType(CrossOverType) - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method sets the selected crossover type.
+
+
setCurrentFeatureValues(double[]) - Method in class unifeat.result.Results
+
+
Sets the values of each feature in the current run over given subset of + selected features
+
+
setCurrentSelectedSubset(int, int, int[]) - Method in class unifeat.result.Results
+
+
Sets the subset of selected features in the current run
+
+
setDataInfo(double[][]) - Method in class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.Population
+
+
This method sets the information of the dataset.
+
+
setDataInfo(double[][]) - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS.Swarm
+
+
This method sets the information of the dataset.
+
+
setDataInfo(double[][], String[], String[]) - Method in class unifeat.featureSelection.FitnessEvaluator
+
+
This method sets the information of the dataset.
+
+
setDefaultValue() - Method in class unifeat.gui.classifier.DTClassifierPanel
+
+
Sets the default values of the decision tree parameters
+
+
setDefaultValue() - Method in class unifeat.gui.classifier.KNNClassifierPanel
+
+
Sets the default values of the k-nearest neighbours parameters
+
+
setDefaultValue() - Method in class unifeat.gui.classifier.svmClassifier.SVMClassifierPanel
+
+
Sets the default values of the support vector machine parameters
+
+
setDefaultValue() - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
Sets the default values of the tree parameters
+
+
setDefaultValue() - Method in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
+
Sets the default values of the MSVM_RFE parameters
+
+
setDefaultValue() - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
+
Sets the default values of the IRRFSACO_1 parameters
+
+
setDefaultValue() - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
+
Sets the default values of the IRRFSACO_2 parameters
+
+
setDefaultValue() - Method in class unifeat.gui.featureSelection.filter.LaplacianScorePanel
+
+
Sets the default values of the Laplacian score parameters
+
+
setDefaultValue() - Method in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
+
Sets the default values of the MGSACO parameters
+
+
setDefaultValue() - Method in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
+
Sets the default values of the RRFSACO_1 parameters
+
+
setDefaultValue() - Method in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
+
Sets the default values of the RRFSACO_2 parameters
+
+
setDefaultValue() - Method in class unifeat.gui.featureSelection.filter.RRFSPanel
+
+
Sets the default values of the RRFS parameters
+
+
setDefaultValue() - Method in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
+
Sets the default values of the RSM parameters
+
+
setDefaultValue() - Method in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
+
Sets the default values of the UFSACO parameters
+
+
setDefaultValue() - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
+
Sets the default values of the basic ACO parameters
+
+
setDefaultValue() - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.OptimalACOPanel
+
+
Sets the default values of the Optimal ACO parameters
+
+
setDefaultValue() - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
Sets the default values of the basic GA parameters
+
+
setDefaultValue() - Method in class unifeat.gui.featureSelection.wrapper.GABased.HGAFSPanel
+
+
Sets the default values of the HGAFS parameters
+
+
setDefaultValue() - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
Sets the default values of the basic PSO parameters
+
+
setDefaultValue() - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.CPSOPanel
+
+
Sets the default values of the CPSO parameters
+
+
setDefaultValue() - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.HPSO_LSPanel
+
+
Sets the default values of the HPSO_LS parameters
+
+
setDefaultValue() - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.PSO42Panel
+
+
Sets the default values of the PSO(4-2) parameters
+
+
setDefaultValue(TreeType) - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
Sets the default values of the tree parameters
+
+
setElimination(int) - Method in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
+
This method sets the elimination threshold value.
+
+
setEnabledButton() - Method in class unifeat.gui.ResultPanel
+
+
Enables the status of all buttons
+
+
setEnabledItem() - Method in class unifeat.gui.MainPanel
+
+
enables the status of diagrams menu item
+
+
setEnableKernelType(boolean) - Method in class unifeat.gui.classifier.svmClassifier.SVMClassifierPanel
+
+
Sets the status of the kernel's combo box
+
+
setEnableKernelType(boolean) - Method in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
+
Sets the status of the kernel's combo box
+
+
setEndPosInterval(double) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
This method sets the position interval end value.
+
+
setEpsilon(double) - Method in class unifeat.gui.featureSelection.wrapper.GABased.HGAFSPanel
+
+
This method sets the epsilon value.
+
+
setEpsilon(double) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.HPSO_LSPanel
+
+
This method sets the epsilon value.
+
+
setErrorRate(double) - Method in class unifeat.result.performanceMeasure.Criteria
+
+
This method sets the error rate value.
+
+
setEvRate(double) - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
+
This method sets the evaporation rate value.
+
+
setEvRate(double) - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
+
This method sets the evaporation rate value.
+
+
setEvRate(double) - Method in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
+
This method sets the evaporation rate value.
+
+
setEvRate(double) - Method in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
+
This method sets the evaporation rate value.
+
+
setEvRate(double) - Method in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
+
This method sets the evaporation rate value.
+
+
setEvRate(double) - Method in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
+
This method sets the evaporation rate value.
+
+
setEvRate(double) - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
+
This method sets the evaporation rate value.
+
+
setFitness(double) - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicAnt
+
+
This method sets the fitness value of the ant.
+
+
setFitness(double) - Method in class unifeat.featureSelection.wrapper.GABasedMethods.BasicIndividual
+
+
This method sets the fitness value of the individual.
+
+
setFitness(double) - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicParticle
+
+
This method sets the fitness value of the particle.
+
+
setGBest(PosType[]) - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicSwarm
+
+
This method sets the best position in the swarm (global best)
+
+
setGBestFitness(double) - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicSwarm
+
+
This method sets the fitness value of best position in the swarm (global + best)
+
+
setInertiaWeight(double) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
This method sets the inertia weight (w) value.
+
+
setInitialState() - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicColony
+
+
This method places any ant randomly to one feature as their initial + states.
+
+
setInitialState() - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO.Colony
+
+
This method places any ant randomly to one feature as their initial + states.
+
+
setInitPheromone(double) - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
+
This method sets the initial pheromone value.
+
+
setInitPheromone(double) - Method in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
+
This method sets the initial pheromone value.
+
+
setInitPheromone(double) - Method in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
+
This method sets the initial pheromone value.
+
+
setInitPheromone(double) - Method in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
+
This method sets the initial pheromone value.
+
+
setInitPheromone(double) - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.OptimalACOPanel
+
+
This method sets the initial pheromone value.
+
+
setKernel(SVMKernelType) - Method in class unifeat.gui.classifier.svmClassifier.SVMClassifierPanel
+
+
This method sets the name of kernel.
+
+
setKernel(SVMKernelType) - Method in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
+
This method sets the name of kernel.
+
+
setKFolds(int) - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
+
This method sets the k folds value.
+
+
setKFolds(int) - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method sets the k folds value.
+
+
setKFolds(int) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
This method sets the k folds value.
+
+
setKNearest(int) - Method in class unifeat.gui.featureSelection.filter.LaplacianScorePanel
+
+
This method sets the k-nearest neighbor value.
+
+
setKNNValue(int) - Method in class unifeat.gui.classifier.KNNClassifierPanel
+
+
This method sets the number of neighbours to use.
+
+
setMaxDepth(int) - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
This method sets the maximum depth of the tree.
+
+
setMaxVelocity(double) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
This method sets the velocity interval end value.
+
+
setMessage(String) - Method in class unifeat.gui.ResultPanel
+
+
Appends the given text to the end of the documents
+
+
setMethodDescription(String) - Method in class unifeat.gui.ParameterPanel
+
+
This method sets the description of the method.
+
+
setMethodDescriptionPosition(Rectangle) - Method in class unifeat.gui.ParameterPanel
+
+
This method sets the position of the methodDescription in + the created panel.
+
+
setMethodTitle(String) - Method in class unifeat.gui.ParameterPanel
+
+
This method sets the title of the method settings.
+
+
setMethodTitlePosition(Rectangle) - Method in class unifeat.gui.ParameterPanel
+
+
This method sets the position of the methodTitle in the + created panel.
+
+
setMinNum(int) - Method in class unifeat.gui.classifier.DTClassifierPanel
+
+
This method sets the minimum number of samples per leaf value.
+
+
setMinNum(int) - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
This method sets the minimum number of samples per leaf value.
+
+
setMinVelocity(double) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
This method sets the velocity interval start value.
+
+
setMoreButtonPosition(Rectangle) - Method in class unifeat.gui.ParameterPanel
+
+
This method sets the position of the More button in the + created panel.
+
+
setMoreOptionDescription(String) - Method in class unifeat.gui.ParameterPanel
+
+
This method sets the description of the parameters in details that is + shown in more option panel.
+
+
setMu(double) - Method in class unifeat.gui.featureSelection.wrapper.GABased.HGAFSPanel
+
+
This method sets the mu value.
+
+
setMultMethodName(MultivariateMethodType) - Method in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
+
This method sets the name of multivariate method.
+
+
setMutationRate(double) - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method sets the mutation rate value.
+
+
setMutationType(MutationType) - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method sets the selected mutation type.
+
+
setNameMode(SelectModeType) - Method in class unifeat.gui.menu.selectMode.SelectModePanel
+
+
This method sets the type of mode.
+
+
setNumAnts(int) - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
+
This method sets the number of ants value.
+
+
setNumAnts(int) - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
+
This method sets the number of ants value.
+
+
setNumAnts(int) - Method in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
+
This method sets the number of ants value.
+
+
setNumAnts(int) - Method in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
+
This method sets the number of ants value.
+
+
setNumAnts(int) - Method in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
+
This method sets the number of ants value.
+
+
setNumAnts(int) - Method in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
+
This method sets the number of ants value.
+
+
setNumFeatOfAnt(int) - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
+
This method sets the the number of features for ants value.
+
+
setNumFeatOfAnt(int) - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
+
This method sets the the number of features for ants value.
+
+
setNumFeatOfAnt(int) - Method in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
+
This method sets the the number of features for ants value.
+
+
setNumFeatOfAnt(int) - Method in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
+
This method sets the the number of features for ants value.
+
+
setNumFeatOfAnt(int) - Method in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
+
This method sets the the number of features for ants value.
+
+
setNumFold(int) - Method in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
+
This method sets the number of subsamples value.
+
+
setNumIteration(int) - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
+
This method sets the number of iterations value.
+
+
setNumIteration(int) - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
+
This method sets the number of iterations value.
+
+
setNumIteration(int) - Method in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
+
This method sets the number of iterations value.
+
+
setNumIteration(int) - Method in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
+
This method sets the number of iterations value.
+
+
setNumIteration(int) - Method in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
+
This method sets the number of iterations value.
+
+
setNumIteration(int) - Method in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
+
This method sets the number of iterations value.
+
+
setNumIteration(int) - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
+
This method sets the number of iterations value.
+
+
setNumIteration(int) - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method sets the number of iterations value.
+
+
setNumIteration(int) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
This method sets the number of iterations value.
+
+
setNumRun(int) - Method in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
+
This method sets the number of runs value.
+
+
setNumSelectedFeature(int) - Method in class unifeat.featureSelection.FeatureSelection
+
+
This method sets the number of features that should be selected by a + given feature selection method.
+
+
setNumSelection(int) - Method in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
+
This method sets the number of selections value.
+
+
setOkButtonPosition(Rectangle) - Method in class unifeat.gui.ParameterPanel
+
+
This method sets the position of the Ok button in the + created panel.
+
+
setPanelSize(Dimension) - Method in class unifeat.gui.ParameterPanel
+
+
This method sets the size of the created panel.
+
+
setPanelTitle(String) - Method in class unifeat.gui.ParameterPanel
+
+
This method sets the title of the panel.
+
+
setParameterC(double) - Method in class unifeat.gui.classifier.svmClassifier.SVMClassifierPanel
+
+
This method sets the complexity parameter C.
+
+
setParameterC(double) - Method in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
+
This method sets the complexity parameter C.
+
+
setPBestFitness(double) - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicParticle
+
+
This method sets the fitness value of best position of the particle + (personal best)
+
+
setPheromone(double, int, int) - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicGraphRepresentation
+
+
This method sets a pheromone value in a specific entry of the array.
+
+
setPheromone(double, int, int) - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO.GraphRepresentation
+
+
This method sets a pheromone value in a specific entry of the array.
+
+
setPhi(double) - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.OptimalACOPanel
+
+
This method sets the phi value.
+
+
setPopulationSize(int) - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method sets the size of population value.
+
+
setPopulationSize(int) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
This method sets the size of population value.
+
+
setQ0(double) - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
+
This method sets the q0 value.
+
+
setQ0(double) - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
+
This method sets the q0 value.
+
+
setQ0(double) - Method in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
+
This method sets the q0 value.
+
+
setQ0(double) - Method in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
+
This method sets the q0 value.
+
+
setQ0(double) - Method in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
+
This method sets the q0 value.
+
+
setQ0(double) - Method in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
+
This method sets the q0 value.
+
+
setRandomForestNumFeatures(int) - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
This method sets the number of randomly selected features.
+
+
setRandomForestNumIterations(int) - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
This method sets the number of iterations to be performed.
+
+
setRandomTreeKValue(int) - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
This method sets the number of randomly chosen attributes.
+
+
setRandomTreeMaxDepth(int) - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
This method sets the maximum depth of the tree.
+
+
setRandomTreeMinNum(double) - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
This method sets the minimum total weight of the instances in a leaf.
+
+
setRandomTreeMinVarianceProp(double) - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
This method sets the minimum proportion of the total variance (over all + the data) required for split.
+
+
setReplacementType(ReplacementType) - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method sets the selected replacement type.
+
+
setSelectedClassifierPan(Object) - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
+
This method sets the selected classifier panel value.
+
+
setSelectedClassifierPan(Object) - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method sets the selected classifier panel value.
+
+
setSelectedClassifierPan(Object) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
This method sets the selected classifier panel value.
+
+
setSelectionType(SelectionType) - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
This method sets the selected selection type.
+
+
setSimilarity(double) - Method in class unifeat.gui.featureSelection.filter.RRFSPanel
+
+
This method sets the similarity threshold value.
+
+
setSizeSubspace(int) - Method in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
+
This method sets the size of subspace value.
+
+
setStartNode() - Method in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_1
+
+
Places the ants randomly on the graph nodes as their starting nodes
+
+
setStartNode() - Method in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
+
Places the ants randomly on the graph nodes as their starting nodes
+
+
setStartNode() - Method in class unifeat.featureSelection.filter.unsupervised.MGSACO
+
+
Places the ants randomly on the graph nodes as their starting nodes
+
+
setStartNode() - Method in class unifeat.featureSelection.filter.unsupervised.RRFSACO_1
+
+
Places the ants randomly on the graph nodes as their starting nodes
+
+
setStartNode() - Method in class unifeat.featureSelection.filter.unsupervised.RRFSACO_2
+
+
Places the ants randomly on the graph nodes as their starting nodes
+
+
setStartNode() - Method in class unifeat.featureSelection.filter.unsupervised.UFSACO
+
+
Places the ants randomly on the graph nodes as their starting nodes
+
+
setStartPosInterval(double) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
This method sets the position interval start value.
+
+
setTheta(double) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.CPSOPanel
+
+
This method sets the theta value.
+
+
setTheta(double) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.PSO42Panel
+
+
This method sets the theta value.
+
+
setTime(double) - Method in class unifeat.result.performanceMeasure.Criteria
+
+
This method sets the time value.
+
+
setTime(double) - Method in class unifeat.result.Results
+
+
Sets the execution time of the feature selection method in the current + run.
+
+
setUserValue(double) - Method in class unifeat.gui.featureSelection.filter.RRFSPanel
+
+
Sets the last values of the RRFS parameters entered by user
+
+
setUserValue(double, int) - Method in class unifeat.gui.classifier.DTClassifierPanel
+
+
Sets the last values of the decision tree parameters entered by user
+
+
setUserValue(double, int) - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
Sets the last values of the C4.5 parameters entered by user
+
+
setUserValue(double, int, int, double, double, double) - Method in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
+
Sets the last values of the MGSACO parameters entered by user
+
+
setUserValue(double, int, int, int, double, double, double) - Method in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
+
Sets the last values of the UFSACO parameters entered by user
+
+
setUserValue(double, int, int, int, double, double, double, double) - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
+
Sets the last values of the IRRFSACO_2 parameters entered by user
+
+
setUserValue(double, int, int, int, double, double, double, double) - Method in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
+
Sets the last values of the RRFSACO_2 parameters entered by user
+
+
setUserValue(int) - Method in class unifeat.gui.classifier.KNNClassifierPanel
+
+
Sets the last values of the k-nearest neighbours parameters entered by + user
+
+
setUserValue(int, double) - Method in class unifeat.gui.featureSelection.filter.LaplacianScorePanel
+
+
Sets the last values of the Laplacian score parameters entered by user
+
+
setUserValue(int, int, double, double) - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
Sets the last values of the random tree parameters entered by user.
+
+
setUserValue(int, int, int) - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
Sets the last values of the random forest parameters entered by user.
+
+
setUserValue(int, int, int, double, double, double) - Method in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
+
Sets the last values of the IRRFSACO_1 parameters entered by user
+
+
setUserValue(int, int, int, double, double, double) - Method in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
+
Sets the last values of the RRFSACO_1 parameters entered by user
+
+
setUserValue(int, int, int, MultivariateMethodType) - Method in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
+
Sets the last values of the RSM parameters entered by user
+
+
setUserValue(ClassifierType, Object, int, int, double, double, double, double, double, double, double, int) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
+
Sets the last values of the basic PSO parameters entered by user
+
+
setUserValue(ClassifierType, Object, int, int, double, double, double, double, double, double, double, int, double) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.CPSOPanel
+
+
Sets the last values of the continuous PSO (CPSO) parameters entered by + user
+
+
setUserValue(ClassifierType, Object, int, int, double, double, double, double, double, double, double, int, double) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.PSO42Panel
+
+
Sets the last values of the PSO(4-2) parameters entered by user
+
+
setUserValue(ClassifierType, Object, int, int, double, double, double, double, double, double, double, int, double, double) - Method in class unifeat.gui.featureSelection.wrapper.PSOBased.HPSO_LSPanel
+
+
Sets the last values of the HPSO_LS parameters entered by user
+
+
setUserValue(ClassifierType, Object, int, int, double, double, double, int) - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
+
Sets the last values of the basic ACO parameters entered by user
+
+
setUserValue(ClassifierType, Object, int, int, double, double, double, int, double, double) - Method in class unifeat.gui.featureSelection.wrapper.ACOBased.OptimalACOPanel
+
+
Sets the last values of the Optimal ACO parameters entered by user
+
+
setUserValue(ClassifierType, Object, SelectionType, CrossOverType, MutationType, ReplacementType, int, int, double, double, int) - Method in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
+
Sets the last values of the basic GA parameters entered by user
+
+
setUserValue(ClassifierType, Object, SelectionType, CrossOverType, MutationType, ReplacementType, int, int, double, double, int, double, double) - Method in class unifeat.gui.featureSelection.wrapper.GABased.HGAFSPanel
+
+
Sets the last values of the basic GA parameters entered by user
+
+
setUserValue(SVMKernelType, double) - Method in class unifeat.gui.classifier.svmClassifier.SVMClassifierPanel
+
+
Sets the last values of the support vector machine parameters entered by + user
+
+
setUserValue(SVMKernelType, double, int, int) - Method in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
+
Sets the last values of the MSVM_RFE parameters entered by user
+
+
SIG_LEVEL_01 - Static variable in class unifeat.util.CriticalValue
+
 
+
SIG_LEVEL_05 - Static variable in class unifeat.util.CriticalValue
+
 
+
SIG_LEVEL_1 - Static variable in class unifeat.util.CriticalValue
+
 
+
sigmoidFunc(double) - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BPSO.Swarm
+
+
This method transforms a input value to the range of (0,1) using sigmoid + function.
+
+
sigmoidFunc(double) - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS.Swarm
+
+
This method transforms a input value to the range of (0,1) using sigmoid + function.
+
+
similarity - Variable in class unifeat.gui.featureSelection.filter.RRFSPanel
+
 
+
similarSet - Variable in class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.Population
+
 
+
similarSet - Variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS.Swarm
+
 
+
SIMPLE_GA - Static variable in class unifeat.featureSelection.wrapper.WrapperType
+
 
+
SimpleGA - Class in unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA
+
+
This java class is used to implement feature selection method based on simple + genetic algorithm (Simple GA) in which the type of Population is extended + from Population class.
+
+
SimpleGA(Object...) - Constructor for class unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA.SimpleGA
+
+
Initializes the parameters
+
+
simpleGAFeatSelectionPanel - Variable in class unifeat.gui.MainPanel
+
 
+
SimpleGAPanel - Class in unifeat.gui.featureSelection.wrapper.GABased
+
+
This java class is used to create and show a panel for the parameter settings + of the simple genetic algorithm (Simple GA).
+
+
SimpleGAPanel() - Constructor for class unifeat.gui.featureSelection.wrapper.GABased.SimpleGAPanel
+
+
Creates new form SimpleGAPanel.
+
+
simValue - Variable in class unifeat.gui.MainPanel
+
 
+
simValues - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_1
+
 
+
simValues - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
 
+
simValues - Variable in class unifeat.featureSelection.filter.unsupervised.MGSACO
+
 
+
simValues - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_1
+
 
+
simValues - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_2
+
 
+
simValues - Variable in class unifeat.featureSelection.filter.unsupervised.UFSACO
+
 
+
SIZE_SUB_SPACE - Variable in class unifeat.featureSelection.filter.unsupervised.RSM
+
 
+
sizeSubspace - Variable in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
 
+
sizeSubspace - Variable in class unifeat.gui.MainPanel
+
 
+
sortArray1D(double[], boolean) - Static method in class unifeat.util.ArraysFunc
+
+
Sorts the one dimensional array (double values) as descending or + ascending order
+
+
sortArray1D(int[], boolean) - Static method in class unifeat.util.ArraysFunc
+
+
Sorts the one dimensional array (integer values) as descending or + ascending order
+
+
sortArray1D(int[], boolean, int, int) - Static method in class unifeat.util.ArraysFunc
+
+
Sorts the one dimensional array (integer values) as descending or + ascending order
+
+
sortArray2D(double[][], int) - Static method in class unifeat.util.ArraysFunc
+
+
Sorts the two dimensional array by using the index of column as ascending + order
+
+
sortArray2D(double[][], int, int, int) - Static method in class unifeat.util.ArraysFunc
+
+
Sorts the two dimensional array by using the index of column as ascending + order
+
+
sortWithIndex(double[], boolean) - Static method in class unifeat.util.ArraysFunc
+
+
Sorts the one dimensional array (double values) by values and returns a + list of indices
+
+
sortWithIndex(int[], boolean) - Static method in class unifeat.util.ArraysFunc
+
+
Sorts the one dimensional array (integer values) by values and returns a + list of indices
+
+
splitDataSetToTrainAndTest1() - Method in class unifeat.dataset.DatasetInfo
+
+
This method randomly splits the input dataset to the train/test sets 2/3 + of the dataset is used as train set and 1/3 of the dataset is used as + test set
+
+
splitDataSetToTrainAndTest2() - Method in class unifeat.dataset.DatasetInfo
+
+
This method sets the train/test sets train and test sets previously are + split by user
+
+
splitFeatureWithLabel() - Method in class unifeat.dataset.DatasetInfo
+
+
This method converts and sets the string values of the input data to the + double values
+
+
splitInformation() - Method in class unifeat.featureSelection.filter.supervised.GainRatio
+
+
Computes the split information values of the data for all features
+
+
START_POS_INTERVAL - Static variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicSwarm
+
 
+
startPosInterval - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
stateTransitionRules(int) - Method in class unifeat.featureSelection.filter.unsupervised.MGSACO
+
+
Chooses the next feature among unvisited features according to the state + transition rules
+
+
stateTransitionRules(int) - Method in class unifeat.featureSelection.filter.unsupervised.RRFSACO_1
+
+
Chooses the next feature among unvisited features according to the state + transition rules
+
+
stateTransitionRules(int) - Method in class unifeat.featureSelection.filter.unsupervised.RRFSACO_2
+
+
Chooses the next feature among unvisited features according to the state + transition rules
+
+
stateTransitionRules(int) - Method in class unifeat.featureSelection.filter.unsupervised.UFSACO
+
+
Chooses the next feature among unvisited features according to the state + transition rules
+
+
stateTransitionRules(int, int) - Method in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_1
+
+
Chooses the next feature among unvisited features according to the state + transition rules
+
+
stateTransitionRules(int, int) - Method in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
+
Chooses the next feature among unvisited features according to the state + transition rules
+
+
subMatrix(double[][], double[][]) - Static method in class unifeat.util.MathFunc
+
+
Computes the subtract of two matrices
+
+
subtractBoolean(boolean, boolean) - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BPSO.Swarm
+
+
This method subtracts two boolean values.
+
+
subtractBoolean(boolean, boolean) - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS.Swarm
+
+
This method subtracts two boolean values.
+
+
sum(double[]) - Static method in class unifeat.util.MathFunc
+
+
Computes the sum of the elements of input array
+
+
sum(double[], int, int) - Static method in class unifeat.util.MathFunc
+
+
Computes the sum of the elements of input array in the range of [start, + end)
+
+
sum(int[]) - Static method in class unifeat.util.MathFunc
+
+
Computes the sum of the elements of input array
+
+
sum(int[], int, int) - Static method in class unifeat.util.MathFunc
+
+
Computes the sum of the elements of input array in the range of [start, + end)
+
+
SupervisedFilterType - Class in unifeat.featureSelection.filter.supervised
+
+
This java class is used to define the names of supervised filter-based + feature selection methods.
+
+
SupervisedFilterType(String) - Constructor for class unifeat.featureSelection.filter.supervised.SupervisedFilterType
+
+
Creates new SupervisedFilterType.
+
+
SVM - Static variable in class unifeat.classifier.ClassifierType
+
 
+
SVM(String, String, SVMKernelType, double) - Static method in class unifeat.classifier.evaluation.wekaClassifier.TrainTestEvaluation
+
+
This method builds and evaluates the support vector machine(SVM) + classifier.
+
+
SVM(String, SVMKernelType, double, int) - Static method in class unifeat.classifier.evaluation.wekaClassifier.CrossValidation
+
+
This method builds and evaluates the support vector machine(SVM) + classifier.
+
+
SVM_RFE - Class in unifeat.featureSelection.embedded.SVMBasedMethods
+
+
This java class is used to implement support vector machine method based on + recursive feature elimination (SVM_RFE).
+
+
SVM_RFE - Static variable in class unifeat.featureSelection.embedded.EmbeddedType
+
 
+
SVM_RFE(Object...) - Constructor for class unifeat.featureSelection.embedded.SVMBasedMethods.SVM_RFE
+
+
Initializes the parameters
+
+
SVM_RFE(String, SVMKernelType, double) - Constructor for class unifeat.featureSelection.embedded.SVMBasedMethods.SVM_RFE
+
+
Initializes the parameters
+
+
SVMBasedMethods - Class in unifeat.featureSelection.embedded.SVMBasedMethods
+
+
The abstract class contains the main methods and fields that are used in all + SVM-based feature selection methods.
+
+
SVMBasedMethods(Object...) - Constructor for class unifeat.featureSelection.embedded.SVMBasedMethods.SVMBasedMethods
+
+
Initializes the parameters
+
+
SVMBasedMethods(String, SVMKernelType, double) - Constructor for class unifeat.featureSelection.embedded.SVMBasedMethods.SVMBasedMethods
+
+
Initializes the parameters
+
+
SVMClassifierPanel - Class in unifeat.gui.classifier.svmClassifier
+
+
This java class is used to create and show a panel for the parameter settings + of the support vector machine classifier.
+
+
SVMClassifierPanel() - Constructor for class unifeat.gui.classifier.svmClassifier.SVMClassifierPanel
+
+
Creates new form SVMClassifierPanel.
+
+
svmEvaluationPanel - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
svmEvaluationPanel - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
svmEvaluationPanel - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
svmEvaluationPanel - Variable in class unifeat.gui.MainPanel
+
 
+
svmFeatureSelectionPanel - Variable in class unifeat.gui.MainPanel
+
 
+
SVMKernelType - Class in unifeat.gui.classifier.svmClassifier
+
+
This java class is used to define the names of kernel used in SVM.
+
+
SVMKernelType(String) - Constructor for class unifeat.gui.classifier.svmClassifier.SVMKernelType
+
+
Creates new SVMKernelType.
+
+
swap(boolean[], int, boolean[], int) - Static method in class unifeat.featureSelection.wrapper.GABasedMethods.CrossoverOperator
+
+
Changes the values of the two elements in the two arrays identified by + index1 and index2
+
+
swap(double[][], int, int) - Static method in class unifeat.util.MathFunc
+
+
Changes the values of the two rows in the input array identified by + firstIndex and secondIndex
+
+
swap(double[], int, double[], int) - Static method in class unifeat.featureSelection.wrapper.GABasedMethods.CrossoverOperator
+
+
Changes the values of the two elements in the two arrays identified by + index1 and index2
+
+
swap(int[], int, int) - Static method in class unifeat.util.MathFunc
+
+
Changes the values of the two elements in the input array identified by + firstIndex and secondIndex
+
+
swap(GeneType[], int, GeneType[], int) - Static method in class unifeat.featureSelection.wrapper.GABasedMethods.CrossoverOperator
+
+
Changes the values of the two elements in the two arrays identified by + index1 and index2
+
+
swap(T[], int, int) - Static method in class unifeat.util.MathFunc
+
+
Changes the values of the two elements in the input array identified by + firstIndex and secondIndex
+
+
swapValue(double[], int, int) - Method in class unifeat.featureSelection.filter.unsupervised.MutualCorrelation
+
+
Swaps the two entities of the input double array
+
+
swapValue(int[], int, int) - Method in class unifeat.featureSelection.filter.unsupervised.MutualCorrelation
+
+
Swaps the two entities of the input integer array
+
+
swarm - Variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicPSO
+
 
+
Swarm - Class in unifeat.featureSelection.wrapper.PSOBasedMethods.BPSO
+
+
This java class is used to implement a swarm of particles in binary particle + swarm optimization (BPSO) method in which the type of position vector is + boolean and the type of particle is extended from Particle class.
+
+
Swarm - Class in unifeat.featureSelection.wrapper.PSOBasedMethods.CPSO
+
+
This java class is used to implement a swarm of particles in continuous + particle swarm optimization (CPSO) method in which the type of position + vector is double and the type of particle is extended from Particle class.
+
+
Swarm - Class in unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS
+
+
This java class is used to implement a swarm of particles in hybrid particle + swarm optimization method using local search (HPSO-LS) in which the type of + position vector is boolean and the type of particle is extended from Particle + class.
+
+
Swarm - Class in unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42
+
+
This java class is used to implement a swarm of particles in particle swarm + optimization version 4-2(PSO(4-2)) method in which the type of position + vector is double and the type of particle is extended from Particle class.
+
+
Swarm() - Constructor for class unifeat.featureSelection.wrapper.PSOBasedMethods.BPSO.Swarm
+
+
Initializes the parameters
+
+
Swarm(double) - Constructor for class unifeat.featureSelection.wrapper.PSOBasedMethods.CPSO.Swarm
+
+
Initializes the parameters
+
+
Swarm(double) - Constructor for class unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42.Swarm
+
+
Initializes the parameters
+
+
Swarm(double, double) - Constructor for class unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS.Swarm
+
+
Initializes the parameters
+
+
SYMMETRICAL_UNCERTAINTY - Static variable in class unifeat.featureSelection.filter.FilterType
+
 
+
SymmetricalUncertainty - Class in unifeat.featureSelection.filter.supervised
+
+
This java class is used to implement the symmetrical uncertainty method.
+
+
SymmetricalUncertainty(int) - Constructor for class unifeat.featureSelection.filter.supervised.SymmetricalUncertainty
+
+
Initializes the parameters
+
+
SymmetricalUncertainty(Object...) - Constructor for class unifeat.featureSelection.filter.supervised.SymmetricalUncertainty
+
+
Initializes the parameters
+
+
+

T

+
+
tab_pane - Variable in class unifeat.gui.MainPanel
+
 
+
tabuList - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_1
+
 
+
tabuList - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
 
+
tabuList - Variable in class unifeat.featureSelection.filter.unsupervised.MGSACO
+
 
+
tabuList - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_1
+
 
+
tabuList - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_2
+
 
+
tabuList - Variable in class unifeat.featureSelection.filter.unsupervised.UFSACO
+
 
+
tbl_values - Variable in class unifeat.gui.menu.FriedmanPanel
+
 
+
TEMP_NUM_FEAT_OF_ANT - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_1
+
 
+
TEMP_NUM_FEAT_OF_ANT - Variable in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
 
+
TEMP_NUM_FEAT_OF_ANT - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_1
+
 
+
TEMP_NUM_FEAT_OF_ANT - Variable in class unifeat.featureSelection.filter.unsupervised.RRFSACO_2
+
 
+
TEMP_NUM_FEAT_OF_ANT - Variable in class unifeat.featureSelection.filter.unsupervised.UFSACO
+
 
+
TEMP_PATH - Variable in class unifeat.featureSelection.embedded.SVMBasedMethods.SVMBasedMethods
+
 
+
TEMP_PATH - Variable in class unifeat.featureSelection.embedded.TreeBasedMethods.TreeBasedMethods
+
 
+
TEMP_PATH - Variable in class unifeat.featureSelection.FitnessEvaluator
+
 
+
TEMP_PATH - Variable in class unifeat.featureSelection.wrapper.WrapperApproach
+
 
+
tempMaxValue - Variable in class unifeat.gui.menu.DiagramPanel
+
 
+
tempMinValue - Variable in class unifeat.gui.menu.DiagramPanel
+
 
+
TERM_VARIANCE - Static variable in class unifeat.featureSelection.filter.FilterType
+
 
+
TermVariance - Class in unifeat.featureSelection.filter.unsupervised
+
+
This java class is used to implement the term variance method.
+
+
TermVariance(int) - Constructor for class unifeat.featureSelection.filter.unsupervised.TermVariance
+
+
Initializes the parameters
+
+
TermVariance(Object...) - Constructor for class unifeat.featureSelection.filter.unsupervised.TermVariance
+
+
Initializes the parameters
+
+
testSet - Variable in class unifeat.dataset.DatasetInfo
+
 
+
theta - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.CPSOPanel
+
 
+
theta - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.PSO42Panel
+
 
+
THETA - Static variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.CPSO.Particle
+
 
+
THETA - Static variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42.Particle
+
 
+
THRESHOLD_ELIMINATION - Variable in class unifeat.featureSelection.filter.unsupervised.RSM
+
 
+
time - Variable in class unifeat.result.performanceMeasure.Criteria
+
 
+
toString() - Method in class unifeat.featureSelection.EnumType
+
+
Converts the object name to string
+
+
toString() - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicAnt
+
+
Returns a string representation of the ant.
+
+
toString() - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicColony
+
+
Returns a string representation of the colony.
+
+
toString() - Method in class unifeat.featureSelection.wrapper.ACOBasedMethods.BasicGraphRepresentation
+
+
Returns a string representation of the graph.
+
+
toString() - Method in class unifeat.result.Results
+
+
This method returns an empty string
+
+
toString(ResultType) - Method in class unifeat.result.Results
+
+
This method converts the obtained results over all runs to the string + based on result type for showing in the result panel.
+
+
TOTAL - Static variable in class unifeat.gui.menu.selectMode.SelectModeType
+
 
+
TOTAL_REPLACEMENT - Static variable in class unifeat.gui.featureSelection.wrapper.GABased.ReplacementType
+
 
+
trainSet - Variable in class unifeat.dataset.DatasetInfo
+
 
+
trainSet - Variable in class unifeat.featureSelection.FeatureSelection
+
 
+
trainSet - Variable in class unifeat.featureSelection.FitnessEvaluator
+
 
+
trainSet - Variable in class unifeat.featureSelection.wrapper.GABasedMethods.HGAFS.Population
+
 
+
trainSet - Variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS.Swarm
+
 
+
TrainTestEvaluation - Class in unifeat.classifier.evaluation.wekaClassifier
+
+
This java class is used to apply the classifiers for computing the + performance of the feature selection methods.
+
+
TrainTestEvaluation() - Constructor for class unifeat.classifier.evaluation.wekaClassifier.TrainTestEvaluation
+
 
+
transMatrix(double[][]) - Static method in class unifeat.util.MathFunc
+
+
Computes the transpose of the input matrix
+
+
TREE_TYPE - Variable in class unifeat.featureSelection.embedded.TreeBasedMethods.TreeBasedMethods
+
 
+
TreeBasedMethods - Class in unifeat.featureSelection.embedded.TreeBasedMethods
+
+
The abstract class contains the main methods and fields that are used in all + Tree-based feature selection methods.
+
+
TreeBasedMethods(Object...) - Constructor for class unifeat.featureSelection.embedded.TreeBasedMethods.TreeBasedMethods
+
+
Initializes the parameters
+
+
treeType - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
TreeType - Class in unifeat.gui.featureSelection.embedded.decisionTreeBased
+
+
This java class is used to define the names of different implementation of + Tree.
+
+
TreeType(String) - Constructor for class unifeat.gui.featureSelection.embedded.decisionTreeBased.TreeType
+
+
Creates new TreeType.
+
+
TupleValues(Point, Point) - Constructor for class unifeat.gui.menu.DiagramPanel.TupleValues
+
+
Constructs and initializes a TupleValues with the specified + (key, val).
+
+
TWO_POINT_CROSS_OVER - Static variable in class unifeat.gui.featureSelection.wrapper.GABased.CrossOverType
+
 
+
twoPointCrossover(boolean[], boolean[]) - Static method in class unifeat.featureSelection.wrapper.GABasedMethods.CrossoverOperator
+
+
Recombines (cross over) the two parents to generate new offsprings using + two-point crossover
+
+
twoPointCrossover(double[], double[]) - Static method in class unifeat.featureSelection.wrapper.GABasedMethods.CrossoverOperator
+
+
Recombines (cross over) the two parents to generate new offsprings using + two-point crossover
+
+
twoPointCrossover(GeneType[], GeneType[]) - Static method in class unifeat.featureSelection.wrapper.GABasedMethods.CrossoverOperator
+
+
Recombines (cross over) the two parents to generate new offsprings using + two-point crossover
+
+
txt_alpha - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
txt_alpha - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
txt_alpha - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
txt_alpha - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.HPSO_LSPanel
+
 
+
txt_beta - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
txt_beta - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
txt_beta - Variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
txt_beta - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
txt_beta - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
txt_beta - Variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
txt_beta - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
txt_c1 - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
txt_c2 - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
txt_classLabel - Variable in class unifeat.gui.MainPanel
+
 
+
txt_classLbl - Variable in class unifeat.gui.MainPanel
+
 
+
txt_colonySize - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
txt_confidence - Variable in class unifeat.gui.classifier.DTClassifierPanel
+
 
+
txt_confidence - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
txt_constParam - Variable in class unifeat.gui.featureSelection.filter.LaplacianScorePanel
+
 
+
txt_crossoverRate - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
txt_elimination - Variable in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
 
+
txt_endPosInterval - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
txt_epsilon - Variable in class unifeat.gui.featureSelection.wrapper.GABased.HGAFSPanel
+
 
+
txt_epsilon - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.HPSO_LSPanel
+
 
+
txt_evRate - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
txt_evRate - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
txt_evRate - Variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
txt_evRate - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
txt_evRate - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
txt_evRate - Variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
txt_evRate - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
txt_filePath - Variable in class unifeat.gui.menu.FriedmanPanel
+
 
+
txt_inertiaWeight - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
txt_info - Variable in class unifeat.gui.menu.DiagramPanel
+
 
+
txt_initPheromone - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
txt_initPheromone - Variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
txt_initPheromone - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
txt_initPheromone - Variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
txt_initPheromone - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.OptimalACOPanel
+
 
+
txt_inputdst - Variable in class unifeat.gui.MainPanel
+
 
+
txt_inputFile - Variable in class unifeat.gui.menu.PreprocessPanel
+
 
+
txt_kFolds - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
txt_kFolds - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
txt_kFolds - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
txt_KNearest - Variable in class unifeat.gui.featureSelection.filter.LaplacianScorePanel
+
 
+
txt_kNNValue - Variable in class unifeat.gui.classifier.KNNClassifierPanel
+
 
+
txt_main - Variable in class unifeat.gui.MoreOpPanel
+
 
+
txt_maxDepth - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
txt_maxVelocity - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
txt_minNum - Variable in class unifeat.gui.classifier.DTClassifierPanel
+
 
+
txt_minNum - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
txt_minVelocity - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
txt_mu - Variable in class unifeat.gui.featureSelection.wrapper.GABased.HGAFSPanel
+
 
+
txt_mutationRate - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
txt_numAnts - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
txt_numAnts - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
txt_numAnts - Variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
txt_numAnts - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
txt_numAnts - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
txt_numAnts - Variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
txt_numFeature - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
txt_numFeature - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
txt_numFeature - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
txt_numFeature - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
txt_numFeature - Variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
txt_numFold - Variable in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
 
+
txt_numIteration - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
txt_numIteration - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
txt_numIteration - Variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
txt_numIteration - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
txt_numIteration - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
txt_numIteration - Variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
txt_numIteration - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.BasicACOPanel
+
 
+
txt_numIteration - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
txt_numIteration - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
txt_numRun - Variable in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
 
+
txt_numSelection - Variable in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
 
+
txt_parameterC - Variable in class unifeat.gui.classifier.svmClassifier.SVMClassifierPanel
+
 
+
txt_parameterC - Variable in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
 
+
txt_path - Variable in class unifeat.gui.ProjectPath
+
 
+
txt_phi - Variable in class unifeat.gui.featureSelection.wrapper.ACOBased.OptimalACOPanel
+
 
+
txt_populationSize - Variable in class unifeat.gui.featureSelection.wrapper.GABased.BasicGAPanel
+
 
+
txt_populationSize - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
txt_q0 - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_1Panel
+
 
+
txt_q0 - Variable in class unifeat.gui.featureSelection.filter.IRRFSACO_2Panel
+
 
+
txt_q0 - Variable in class unifeat.gui.featureSelection.filter.MGSACOPanel
+
 
+
txt_q0 - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_1Panel
+
 
+
txt_q0 - Variable in class unifeat.gui.featureSelection.filter.RRFSACO_2Panel
+
 
+
txt_q0 - Variable in class unifeat.gui.featureSelection.filter.UFSACOPanel
+
 
+
txt_randomForestNumFeatures - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
txt_randomForestNumIterations - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
txt_randomTreeKValue - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
txt_randomTreeMaxDepth - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
txt_randomTreeMinNum - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
txt_randomTreeMinVarianceProp - Variable in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
 
+
txt_similarity - Variable in class unifeat.gui.featureSelection.filter.RRFSPanel
+
 
+
txt_sizeSubspace - Variable in class unifeat.gui.featureSelection.filter.rsm.RSMPanel
+
 
+
txt_startPosInterval - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.BasicPSOPanel
+
 
+
txt_testSet - Variable in class unifeat.gui.MainPanel
+
 
+
txt_theta - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.CPSOPanel
+
 
+
txt_theta - Variable in class unifeat.gui.featureSelection.wrapper.PSOBased.PSO42Panel
+
 
+
txt_trainSet - Variable in class unifeat.gui.MainPanel
+
 
+
txtArea_feature - Variable in class unifeat.gui.MainPanel
+
 
+
txtArea_main - Variable in class unifeat.gui.ResultPanel
+
 
+
typeKernel - Variable in class unifeat.gui.classifier.svmClassifier.SVMClassifierPanel
+
 
+
typeKernel - Variable in class unifeat.gui.featureSelection.embedded.MSVM_RFEPanel
+
 
+
+

U

+
+
UFSACO - Class in unifeat.featureSelection.filter.unsupervised
+
+
This java class is used to implement the unsupervised feature selection based + on ant colony optimization (UFSACO) method.
+
+
UFSACO - Static variable in class unifeat.featureSelection.filter.FilterType
+
 
+
UFSACO(int, double, int, int, int, double, double, double) - Constructor for class unifeat.featureSelection.filter.unsupervised.UFSACO
+
+
Initializes the parameters
+
+
UFSACO(Object...) - Constructor for class unifeat.featureSelection.filter.unsupervised.UFSACO
+
+
Initializes the parameters
+
+
UFSACOPanel - Class in unifeat.gui.featureSelection.filter
+
+
This java class is used to create and show a panel for the parameter settings + of the unsupervised feature selection based on ant colony optimization + (UFSACO) method.
+
+
UFSACOPanel() - Constructor for class unifeat.gui.featureSelection.filter.UFSACOPanel
+
+
Creates new form UFSACOPanel.
+
+
unifeat.classifier - package unifeat.classifier
+
 
+
unifeat.classifier.evaluation.wekaClassifier - package unifeat.classifier.evaluation.wekaClassifier
+
 
+
unifeat.dataset - package unifeat.dataset
+
 
+
unifeat.featureSelection - package unifeat.featureSelection
+
 
+
unifeat.featureSelection.embedded - package unifeat.featureSelection.embedded
+
 
+
unifeat.featureSelection.embedded.SVMBasedMethods - package unifeat.featureSelection.embedded.SVMBasedMethods
+
 
+
unifeat.featureSelection.embedded.TreeBasedMethods - package unifeat.featureSelection.embedded.TreeBasedMethods
+
 
+
unifeat.featureSelection.filter - package unifeat.featureSelection.filter
+
 
+
unifeat.featureSelection.filter.supervised - package unifeat.featureSelection.filter.supervised
+
 
+
unifeat.featureSelection.filter.unsupervised - package unifeat.featureSelection.filter.unsupervised
+
 
+
unifeat.featureSelection.hybrid - package unifeat.featureSelection.hybrid
+
 
+
unifeat.featureSelection.wrapper - package unifeat.featureSelection.wrapper
+
 
+
unifeat.featureSelection.wrapper.ACOBasedMethods - package unifeat.featureSelection.wrapper.ACOBasedMethods
+
 
+
unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO - package unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO
+
 
+
unifeat.featureSelection.wrapper.GABasedMethods - package unifeat.featureSelection.wrapper.GABasedMethods
+
 
+
unifeat.featureSelection.wrapper.GABasedMethods.HGAFS - package unifeat.featureSelection.wrapper.GABasedMethods.HGAFS
+
 
+
unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA - package unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA
+
 
+
unifeat.featureSelection.wrapper.PSOBasedMethods - package unifeat.featureSelection.wrapper.PSOBasedMethods
+
 
+
unifeat.featureSelection.wrapper.PSOBasedMethods.BPSO - package unifeat.featureSelection.wrapper.PSOBasedMethods.BPSO
+
 
+
unifeat.featureSelection.wrapper.PSOBasedMethods.CPSO - package unifeat.featureSelection.wrapper.PSOBasedMethods.CPSO
+
 
+
unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS - package unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS
+
 
+
unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42 - package unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42
+
 
+
unifeat.gui - package unifeat.gui
+
 
+
unifeat.gui.classifier - package unifeat.gui.classifier
+
 
+
unifeat.gui.classifier.svmClassifier - package unifeat.gui.classifier.svmClassifier
+
 
+
unifeat.gui.featureSelection.embedded - package unifeat.gui.featureSelection.embedded
+
 
+
unifeat.gui.featureSelection.embedded.decisionTreeBased - package unifeat.gui.featureSelection.embedded.decisionTreeBased
+
 
+
unifeat.gui.featureSelection.filter - package unifeat.gui.featureSelection.filter
+
 
+
unifeat.gui.featureSelection.filter.rsm - package unifeat.gui.featureSelection.filter.rsm
+
 
+
unifeat.gui.featureSelection.wrapper.ACOBased - package unifeat.gui.featureSelection.wrapper.ACOBased
+
 
+
unifeat.gui.featureSelection.wrapper.GABased - package unifeat.gui.featureSelection.wrapper.GABased
+
 
+
unifeat.gui.featureSelection.wrapper.PSOBased - package unifeat.gui.featureSelection.wrapper.PSOBased
+
 
+
unifeat.gui.menu - package unifeat.gui.menu
+
 
+
unifeat.gui.menu.selectMode - package unifeat.gui.menu.selectMode
+
 
+
unifeat.result - package unifeat.result
+
 
+
unifeat.result.performanceMeasure - package unifeat.result.performanceMeasure
+
 
+
unifeat.util - package unifeat.util
+
 
+
UNIFORM_CROSS_OVER - Static variable in class unifeat.gui.featureSelection.wrapper.GABased.CrossOverType
+
 
+
uniformCrossover(boolean[], boolean[], double) - Static method in class unifeat.featureSelection.wrapper.GABasedMethods.CrossoverOperator
+
+
Recombines (cross over) the two parents to generate new offsprings using + uniform crossover
+
+
uniformCrossover(double[], double[], double) - Static method in class unifeat.featureSelection.wrapper.GABasedMethods.CrossoverOperator
+
+
Recombines (cross over) the two parents to generate new offsprings using + uniform crossover
+
+
uniformCrossover(GeneType[], GeneType[], double) - Static method in class unifeat.featureSelection.wrapper.GABasedMethods.CrossoverOperator
+
+
Recombines (cross over) the two parents to generate new offsprings using + uniform crossover
+
+
UnsupervisedFilterType - Class in unifeat.featureSelection.filter.unsupervised
+
+
This java class is used to define the names of unsupervised filter-based + feature selection methods.
+
+
UnsupervisedFilterType(String) - Constructor for class unifeat.featureSelection.filter.unsupervised.UnsupervisedFilterType
+
+
Creates new UnsupervisedFilterType.
+
+
updateGlobalBest() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicSwarm
+
+
This method updates the global best position (global best) of the swarm.
+
+
updateGlobalBest() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BPSO.Swarm
+
+
This method updates the global best position (global best) of the swarm.
+
+
updateGlobalBest() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.CPSO.Swarm
+
+
This method updates the global best position (global best) of the swarm.
+
+
updateGlobalBest() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS.Swarm
+
+
This method updates the global best position (global best) of the swarm.
+
+
updateGlobalBest() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42.Swarm
+
+
This method updates the global best position (global best) of the swarm.
+
+
updateParticlePosition() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicSwarm
+
+
This method updates the position vector of each particle in the swarm.
+
+
updateParticlePosition() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BPSO.Swarm
+
+
This method updates the position vector of each particle in the swarm.
+
+
updateParticlePosition() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.CPSO.Swarm
+
+
This method updates the position vector of each particle in the swarm.
+
+
updateParticlePosition() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS.Swarm
+
+
This method updates the position vector of each particle in the swarm.
+
+
updateParticlePosition() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42.Swarm
+
+
This method updates the position vector of each particle in the swarm.
+
+
updateParticleVelocity() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicSwarm
+
+
This method updates the velocity vector of each particle in the swarm.
+
+
updateParticleVelocity() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BPSO.Swarm
+
+
This method updates the velocity vector of each particle in the swarm.
+
+
updateParticleVelocity() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.CPSO.Swarm
+
+
This method updates the velocity vector of each particle in the swarm.
+
+
updateParticleVelocity() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS.Swarm
+
+
This method updates the velocity vector of each particle in the swarm.
+
+
updateParticleVelocity() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42.Swarm
+
+
This method updates the velocity vector of each particle in the swarm.
+
+
updatePersonalBest() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicSwarm
+
+
This method updates the best position (personal best) of each particle in + the swarm.
+
+
updatePersonalBest() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BPSO.Swarm
+
+
This method updates the best position (personal best) of each particle in + the swarm.
+
+
updatePersonalBest() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.CPSO.Swarm
+
+
This method updates the best position (personal best) of each particle in + the swarm.
+
+
updatePersonalBest() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS.Swarm
+
+
This method updates the best position (personal best) of each particle in + the swarm.
+
+
updatePersonalBest() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42.Swarm
+
+
This method updates the best position (personal best) of each particle in + the swarm.
+
+
upProgValue(int, int, int) - Method in class unifeat.gui.MainPanel
+
+
This method updates the value of progress bar
+
+
+

V

+
+
val - Variable in class unifeat.gui.menu.DiagramPanel.TupleValues
+
 
+
validate() - Method in class unifeat.featureSelection.embedded.SVMBasedMethods.MSVM_RFE
+
+
This method returns the potential errors in the input parameters.
+
+
validate() - Method in class unifeat.featureSelection.embedded.SVMBasedMethods.SVM_RFE
+
+
This method returns the potential errors in the input parameters.
+
+
validate() - Method in class unifeat.featureSelection.FeatureSelection
+
+
This method returns the potential errors in the input parameters.
+
+
validate() - Method in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_1
+
+
This method returns the potential errors in the input parameters.
+
+
validate() - Method in class unifeat.featureSelection.filter.unsupervised.IRRFSACO_2
+
+
This method returns the potential errors in the input parameters.
+
+
validate() - Method in class unifeat.featureSelection.filter.unsupervised.LaplacianScore
+
+
This method returns the potential errors in the input parameters.
+
+
validate() - Method in class unifeat.featureSelection.filter.unsupervised.MGSACO
+
+
This method returns the potential errors in the input parameters.
+
+
validate() - Method in class unifeat.featureSelection.filter.unsupervised.RRFSACO_1
+
+
This method returns the potential errors in the input parameters.
+
+
validate() - Method in class unifeat.featureSelection.filter.unsupervised.RRFSACO_2
+
+
This method returns the potential errors in the input parameters.
+
+
validate() - Method in class unifeat.featureSelection.filter.unsupervised.RSM
+
+
This method returns the potential errors in the input parameters.
+
+
validate() - Method in class unifeat.featureSelection.filter.unsupervised.UFSACO
+
+
This method returns the potential errors in the input parameters.
+
+
validate() - Method in class unifeat.featureSelection.wrapper.GABasedMethods.BasicGA
+
+
This method returns the potential errors in the input parameters.
+
+
validate() - Method in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicPSO
+
+
This method returns the potential errors in the input parameters.
+
+
validate(TreeType) - Method in class unifeat.gui.featureSelection.embedded.decisionTreeBased.DecisionTreeBasedPanel
+
+
This method checks the status of the text fields due to correct input + value
+
+
value - Variable in class unifeat.featureSelection.EnumType
+
 
+
valuesFeature - Variable in class unifeat.featureSelection.filter.supervised.MRMR
+
 
+
velocity - Variable in class unifeat.featureSelection.wrapper.PSOBasedMethods.BasicParticle
+
 
+
+

W

+
+
WeightedFilterApproach - Class in unifeat.featureSelection.filter
+
+
The abstract class contains the main methods and fields that are used in all + weighted filter feature selection methods.
+
+
WeightedFilterApproach(int) - Constructor for class unifeat.featureSelection.filter.WeightedFilterApproach
+
+
Initializes the parameters
+
+
weightedFilterApproachPerform(FilterType, boolean) - Method in class unifeat.gui.MainPanel
+
+
This method performs the feature selection based on weighted filter + approach
+
+
WeightedFilterType - Class in unifeat.featureSelection.filter
+
+
This java class is used to define the names of weighted filter-based feature + selection methods.
+
+
WeightedFilterType(String) - Constructor for class unifeat.featureSelection.filter.WeightedFilterType
+
+
Creates new WeightedFilterType.
+
+
WekaSVMKernel - Class in unifeat.classifier
+
+
This java class is used to convert SVM kernel implemented in unifeat tool to SVM + kernel implemented in weka software.
+
+
WekaSVMKernel() - Constructor for class unifeat.classifier.WekaSVMKernel
+
 
+
WIDTH_LEGEND - Variable in class unifeat.gui.menu.DiagramPanel
+
 
+
WrapperApproach - Class in unifeat.featureSelection.wrapper
+
+
The abstract class contains the main methods and fields that are used in all + wrapper-based feature selection methods.
+
+
WrapperApproach(String) - Constructor for class unifeat.featureSelection.wrapper.WrapperApproach
+
+
Initializes the parameters
+
+
wrapperApproachPerform(WrapperType) - Method in class unifeat.gui.MainPanel
+
+
This method performs the feature selection based on wrapper-based + approach
+
+
WrapperType - Class in unifeat.featureSelection.wrapper
+
+
This java class is used to define the names of wrapper-based feature + selection methods.
+
+
WrapperType(String) - Constructor for class unifeat.featureSelection.wrapper.WrapperType
+
+
Creates new WrapperType.
+
+
+

X

+
+
X_D_START_LEGEND - Variable in class unifeat.gui.menu.DiagramPanel
+
 
+
X_DIMENSION_END - Variable in class unifeat.gui.menu.DiagramPanel
+
 
+
X_DIMENSION_START - Variable in class unifeat.gui.menu.DiagramPanel
+
 
+
+

Y

+
+
Y_D_START_LEGEND - Variable in class unifeat.gui.menu.DiagramPanel
+
 
+
Y_DIMENSION_END - Variable in class unifeat.gui.menu.DiagramPanel
+
 
+
Y_DIMENSION_START - Variable in class unifeat.gui.menu.DiagramPanel
+
 
+
+A B C D E F G H I K L M N O P Q R S T U V W X Y 
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form
+ +
+
+ + diff --git a/docs/java-docs/v0.1.0/index.html b/docs/java-docs/v0.1.0/index.html new file mode 100644 index 0000000..d8ccefe --- /dev/null +++ b/docs/java-docs/v0.1.0/index.html @@ -0,0 +1,142 @@ + + + + +Overview (UniFeat 0.1.0 API) + + + + + + + + + + + + + + + +
+ +
+
+
+

UniFeat 0.1.0 API

+
+
+
Packages
+
+
Package
+
Description
+
unifeat.classifier
+
 
+
unifeat.classifier.evaluation.wekaClassifier
+
 
+
unifeat.dataset
+
 
+
unifeat.featureSelection
+
 
+
unifeat.featureSelection.embedded
+
 
+
unifeat.featureSelection.embedded.SVMBasedMethods
+
 
+
unifeat.featureSelection.embedded.TreeBasedMethods
+
 
+
unifeat.featureSelection.filter
+
 
+
unifeat.featureSelection.filter.supervised
+
 
+
unifeat.featureSelection.filter.unsupervised
+
 
+
unifeat.featureSelection.hybrid
+
 
+
unifeat.featureSelection.wrapper
+
 
+
unifeat.featureSelection.wrapper.ACOBasedMethods
+
 
+
unifeat.featureSelection.wrapper.ACOBasedMethods.OptimalACO
+
 
+
unifeat.featureSelection.wrapper.GABasedMethods
+
 
+
unifeat.featureSelection.wrapper.GABasedMethods.HGAFS
+
 
+
unifeat.featureSelection.wrapper.GABasedMethods.SimpleGA
+
 
+
unifeat.featureSelection.wrapper.PSOBasedMethods
+
 
+
unifeat.featureSelection.wrapper.PSOBasedMethods.BPSO
+
 
+
unifeat.featureSelection.wrapper.PSOBasedMethods.CPSO
+
 
+
unifeat.featureSelection.wrapper.PSOBasedMethods.HPSO_LS
+
 
+
unifeat.featureSelection.wrapper.PSOBasedMethods.PSO42
+
 
+
unifeat.gui
+
 
+
unifeat.gui.classifier
+
 
+
unifeat.gui.classifier.svmClassifier
+
 
+
unifeat.gui.featureSelection.embedded
+
 
+
unifeat.gui.featureSelection.embedded.decisionTreeBased
+
 
+
unifeat.gui.featureSelection.filter
+
 
+
unifeat.gui.featureSelection.filter.rsm
+
 
+
unifeat.gui.featureSelection.wrapper.ACOBased
+
 
+
unifeat.gui.featureSelection.wrapper.GABased
+
 
+
unifeat.gui.featureSelection.wrapper.PSOBased
+
 
+
unifeat.gui.menu
+
 
+
unifeat.gui.menu.selectMode
+
 
+
unifeat.result
+
 
+
unifeat.result.performanceMeasure
+
 
+
unifeat.util
+
 
+
+
+
+ +
+
+ + diff --git a/docs/java-docs/v0.1.0/jquery-ui.overrides.css b/docs/java-docs/v0.1.0/jquery-ui.overrides.css new file mode 100644 index 0000000..1abff95 --- /dev/null +++ b/docs/java-docs/v0.1.0/jquery-ui.overrides.css @@ -0,0 +1,34 @@ +/* + * Copyright (c) 2020, Oracle and/or its affiliates. All rights reserved. + * ORACLE PROPRIETARY/CONFIDENTIAL. Use is subject to license terms. + * + * + * + * + * + * + * + * + * + * + * + * + * + * + * + * + * + * + * + * + */ + +.ui-state-active, +.ui-widget-content .ui-state-active, +.ui-widget-header .ui-state-active, +a.ui-button:active, +.ui-button:active, +.ui-button.ui-state-active:hover { + /* Overrides the color of selection used in jQuery UI */ + background: #F8981D; +} diff --git a/docs/java-docs/v0.1.0/legal/COPYRIGHT b/docs/java-docs/v0.1.0/legal/COPYRIGHT new file mode 100644 index 0000000..ca74fff --- /dev/null +++ b/docs/java-docs/v0.1.0/legal/COPYRIGHT @@ -0,0 +1 @@ +Please see ..\java.base\COPYRIGHT diff --git a/docs/java-docs/v0.1.0/legal/LICENSE b/docs/java-docs/v0.1.0/legal/LICENSE new file mode 100644 index 0000000..4ad9fe4 --- /dev/null +++ b/docs/java-docs/v0.1.0/legal/LICENSE @@ -0,0 +1 @@ +Please see ..\java.base\LICENSE diff --git a/docs/java-docs/v0.1.0/legal/jquery.md b/docs/java-docs/v0.1.0/legal/jquery.md new file mode 100644 index 0000000..8054a34 --- /dev/null +++ b/docs/java-docs/v0.1.0/legal/jquery.md @@ -0,0 +1,72 @@ +## jQuery v3.5.1 + +### jQuery License +``` +jQuery v 3.5.1 +Copyright JS Foundation and other contributors, https://js.foundation/ + +Permission is hereby granted, free of charge, to any person obtaining +a copy of this software and associated documentation files (the +"Software"), to deal in the Software without restriction, including +without limitation the rights to use, copy, modify, merge, publish, +distribute, sublicense, and/or sell copies of the Software, and to +permit persons to whom the Software is furnished to do so, subject to +the following conditions: + +The above copyright notice and this permission notice shall be +included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +****************************************** + +The jQuery JavaScript Library v3.5.1 also includes Sizzle.js + +Sizzle.js includes the following license: + +Copyright JS Foundation and other contributors, https://js.foundation/ + +This software consists of voluntary contributions made by many +individuals. For exact contribution history, see the revision history +available at https://github.com/jquery/sizzle + +The following license applies to all parts of this software except as +documented below: + +==== + +Permission is hereby granted, free of charge, to any person obtaining +a copy of this software and associated documentation files (the +"Software"), to deal in the Software without restriction, including +without limitation the rights to use, copy, modify, merge, publish, +distribute, sublicense, and/or sell copies of the Software, and to +permit persons to whom the Software is furnished to do so, subject to +the following conditions: + +The above copyright notice and this permission notice shall be +included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +==== + +All files located in the node_modules and external directories are +externally maintained libraries used by this software which have their +own licenses; we recommend you read them, as their terms may differ from +the terms above. + +********************* + +``` diff --git a/docs/java-docs/v0.1.0/legal/jqueryUI.md b/docs/java-docs/v0.1.0/legal/jqueryUI.md new file mode 100644 index 0000000..8031bdb --- /dev/null +++ b/docs/java-docs/v0.1.0/legal/jqueryUI.md @@ -0,0 +1,49 @@ +## jQuery UI v1.12.1 + +### jQuery UI License +``` +Copyright jQuery Foundation and other contributors, https://jquery.org/ + +This software consists of voluntary contributions made by many +individuals. For exact contribution history, see the revision history +available at https://github.com/jquery/jquery-ui + +The following license applies to all parts of this software except as +documented below: + +==== + +Permission is hereby granted, free of charge, to any person obtaining +a copy of this software and associated documentation files (the +"Software"), to deal in the Software without restriction, including +without limitation the rights to use, copy, modify, merge, publish, +distribute, sublicense, and/or sell copies of the Software, and to +permit persons to whom the Software is furnished to do so, subject to +the following conditions: + +The above copyright notice and this permission notice shall be +included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +==== + +Copyright and related rights for sample code are waived via CC0. Sample +code is defined as all source code contained within the demos directory. + +CC0: http://creativecommons.org/publicdomain/zero/1.0/ + +==== + +All files located in the node_modules and external directories are +externally maintained libraries used by this software which have their +own licenses; we recommend you read them, as their terms may differ from +the terms above. + +``` diff --git a/docs/java-docs/v0.1.0/member-search-index.js b/docs/java-docs/v0.1.0/member-search-index.js new file mode 100644 index 0000000..9d989b2 --- /dev/null +++ b/docs/java-docs/v0.1.0/member-search-index.js @@ -0,0 +1 @@ +memberSearchIndex = 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