👑 Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA

An R-tool for comprehensive science mapping analysis. A package for quantitative research in scientometrics and bibliometrics.

Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European Union Public Licence (EUPL). FSDA is a joint project by the University of Parma and the Joint Research Centre of the European Commission.

Official code for NeurIPS 2022 paper https://arxiv.org/abs/2208.00780 Visual correspondence-based explanations improve AI robustness and human-AI team accuracy

An introduction to matrix factorization and PCA and SVD.

3D Odometry Visualization and Processing Tool

Python module for Factorial Analysis : Simple and Multiple Correspondence Analysis, Principal Components Analysis

Efficient sparse matrix implementation for various "Principal Component Analysis"

correspondence-analysis is a python module for simple correspondence analysis (CA) and multiple correspondence analysis (MCA).

This module allows users to analyze k-means & hierarchical clustering, and visualize results of Principal Component, Correspondence Analysis, Discriminant analysis, Decision tree, Multidimensional scaling, Multiple Factor Analysis, Machine learning, and Prophet analysis.

A repository for "The Latent Semantic Space and Corresponding Brain Regions of the Functional Neuroimaging Literature" -- http://www.biorxiv.org/content/early/2017/07/20/157826

This repository contains materials associated to the course "Multivariate Analysis" taught at the Faculty of Mathematics and Statistics (FME), UPC under the MESIO-UPC-UB Interuniversity Program under the instructors "Ferran Revertar", "Miguel Salicru" and "Jan Graffelman"

Correspondence Analysis with python

A Collection of Data-Sets, R-programs, and Vignettes for the Advanced Workshop in Sensory Evaluation of SPISE 2022.

Spectral Clustering Correspondence Analysis

Demonstrativo da análise não supervisionada de Correspondência Simples com por países e grau de letalidade da Covid-19.

This repository contains code for Clustering analysis and Correspondence analysis of online user reviews of Digital Camera . The reviews were collected using web scraping .

Consensus Seriation for Binary Data

Multivariate analysis and statistical modeling (with dimensional reduction) of NYC urban life pathologies