correspondence-analysis

👑 Python factor analysis library (PCA, CA, MCA, MFA, FAMD)

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.

An introduction to matrix factorization and PCA and SVD.

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

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).

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

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"

This are the assignments from 3D Computer Vision course take by prof. Evangelos Kalogerakis at UMass

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

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

Correspondence Analysis with python

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

Spectral Clustering Correspondence Analysis

Master thesis research project prepared for the MSc in Management at Barcelona School of Management.