correspondence-analysis
There are 3 repositories under correspondence-analysis topic.
- prince
MaxHalford / prince
:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
Language:Python 1198 massimoaria / bibliometrix
An R-tool for comprehensive science mapping analysis. A package for quantitative research in scientometrics and bibliometrics.
Language:R 469- FSDA
UniprJRC / FSDA
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.
Language:MATLAB 76 anguyen8 / visual-correspondence-XAI
Official code for NeurIPS 2022 paper https://arxiv.org/abs/2208.00780 Visual correspondence-based explanations improve AI robustness and human-AI team accuracy
Language:Jupyter Notebook 39aedin / PCAworkshop
An introduction to matrix factorization and PCA and SVD.
Language:TeX 38OlivierGarciaDev / fanalysis
Python module for Factorial Analysis : Simple and Multiple Correspondence Analysis, Principal Components Analysis
Language:Python 24robotvisionmu / odoviz
3D Odometry Visualization and Processing Tool
Language:JavaScript 24niitsuma / delayedsparse
Efficient sparse matrix implementation for various "Principal Component Analysis"
Language:Python 11YiChanLee / correspondence-analysis
correspondence-analysis is a python module for simple correspondence analysis (CA) and multiple correspondence analysis (MCA).
Language:Python 9hyunsooseol / snowCluster
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.
jamovik-means-clusteringpca-analysis-plothierarchical-clusteringdiscriminant-analysismultiple-factor-analysiscorrespondence-analysismultidimensional-scalingclassification-analysisdecision-treemachine-learningunivariate-timeseriesprophet-analysisclustering-dendrogrammultiple-correspondence-analysisrocLanguage:R 8fahd09 / neurosynth_semantic_map
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
Language:R 6ankitbit / Multivariate_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"
Language:HTML 4abhish-one / Market-Structure-Analysis
This repository contains code for Clustering analysis and Correspondence analysis of online user reviews of Digital Camera . The reviews were collected using web scraping .
Language:Jupyter Notebook 3AlexiaNomena / Correspondence_Analysis_Free_Use
Correspondence Analysis with python
correspondence-analysiscontingency-tablefactor-analysischi-square-statisticsp-valuepythonpandasseabornreciprocal-averagingmarkov-chain-data-analysismultivariate-analysismultivariate-statisticsdata-analysisdata-analysis-pythondata-visualisationstatistical-techniquetext-analysisegyptologygrammar-analysisfree-softwareLanguage:Python 3- Language:Jupyter Notebook 3
HerveAbdi / R4SPISE2022
A Collection of Data-Sets, R-programs, and Vignettes for the Advanced Workshop in Sensory Evaluation of SPISE 2022.
Language:R 3UtrechtUniversity / SCCA
Spectral Clustering Correspondence Analysis
Language:R 3bharadwaj-chukkala / Stereo-Vision-to-estimate-depth-in-an-image
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
Language:Python 2Cbhihe / visualCity
Multivariate analysis and statistical modeling (with dimensional reduction) of NYC urban life pathologies
Language:R 2Marcus-V-Freitas / Analise_Correspondencia_Covid
Demonstrativo da análise não supervisionada de Correspondência Simples com por países e grau de letalidade da Covid-19.
Language:Jupyter Notebook 2Marios-Mamalis / visualisation-of-mca-results-from-factominer-using-plotly
A script for automatic visualisation of Multiple Correspondence Analysis (MCA) results from FactoMineR in 3 dimensions using Plotly (exported as html)
Language:R 2Multivariate analysis (MVA) of high dimensional heterogeneous data
Language:R 1danielle-kotter / Master-Thesis
Master thesis research project prepared for the MSc in Management at Barcelona School of Management.
Language:HTML 1Kevin-Patyk / Independent-Projects
A repository for my independent projects.
Language:HTML 1- letterstori.es-raoul-hausmann
vogelino / letterstori.es-raoul-hausmann
A visualisation of correspondences of Raoul Hausmann 👨🏻🎨
Language:JavaScript 1 andreasxeno / Smokers-Housewives
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.
Language:R 0farincyntiya / multivariate-data-analysis
Multivariate data analysis using R Studio.
Language:R 0isadays / Unsupervised-ML
Unsupervised Machine Learning techniques (R and Python): CLUSTERING, FACTOR ANALYSIS AND CORRESPONDENCE ANALYSIS
Language:Jupyter Notebook 0Ruiping-LIU / SparseCA0
Sparse Correspondence Analysis for Large Contingency Tables
0sgoettel / epistoMap_csv
A letter exchange visualization tool. Create interactive maps of (historical) correspondence
Language:Python 0adepreis / FunWithFlags
🚩 Flag charaterization thanks to data-science
Language:MATLABbnafack / Corpus_analysis
Analysis of Svevo’s letters corpus, machine learning assignment
Language:HTMLCajoterBraak / dcCA
R package for double constrained correspondence analysis with CWM-SNC scatter plots
Language:Rvalinsogna / EthicalAI-STACKAnalysis
A ML algorithm capable of conducting an in-depth analysis of students' responses to STACK questions
Language:Jupyter Notebookvguillemot / sparseCorrespondenceAnalysis
The reproducible code associated with the paper "From Plain to Sparse Correspondence Analysis: A Principal Component Analysis Approach"
Language:Rzakariamejdoul / presidential_election_analysis
Our analysis applies to the study of the results of 2017 French presidential elections according to each department and thus to study with R and Correspondence Analysis the behavior of the voters of each department.
Language:R
