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.

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.

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

R package for double constrained correspondence analysis with CWM-SNC scatter plots

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

Unsupervised Machine Learning techniques (R and Python): CLUSTERING, FACTOR ANALYSIS AND CORRESPONDENCE ANALYSIS

A letter exchange visualization tool. Create interactive maps of (historical) correspondence

The reproducible code associated with the paper "From Plain to Sparse Correspondence Analysis: A Principal Component Analysis Approach"

An introduction to matrix factorization and PCA and SVD.

A ML algorithm capable of conducting an in-depth analysis of students' responses to STACK questions

A visualisation of correspondences of Raoul Hausmann 👨🏻‍🎨

ENPM673: Project 3. Implementing a stereo vision pipeline to find the depth of an image. This project will generate a heat map indicating depth which has been calculated using disparity between correspondences

Sparse Correspondence Analysis for Large Contingency Tables

Correspondence Analysis with python

A repository for my independent projects.

Using a dataset that includes different types of smokers and a datasets with responses of housewives for their breakfast preferences, I'm exploring the concept of correspondance analysis.

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

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

Analysis of Svevo’s letters corpus, machine learning assignment