These are Pattern Recognition Projects for CSE 366 Pattern Recognition Class at Computer Engineering and software systems Ainshams University
- Breast Cancer (Diagnostic)
- Statlog (Heart)
- Clustering ( Iris - Ruspini - German Towns )
- Baysen classifer
- Linear fisher discriminant
- Principle Component analysis
- Perceptron algorithm
- Support Vector Machine
- Neural Networks
- Radial Basis Functions
- BSAS
- MSAS
- K-Mean
All datasets are from The UC Irvine Machine Learning Repository http://archive.ics.uci.edu/ml/index.html
- Breast Cancer https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)
- Heart https://archive.ics.uci.edu/ml/datasets/Statlog+%28Heart%29
- Cluster http://realopt.uqcloud.net/ess_clustering.html
- Use Matlab
- you should add toolbox of ( Pattern Recognition by Sergios Theodoridis and Konstantinos Koutroumbas) to your paths