34 skills found · Page 1 of 2
MaxHalford / Prince:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
massimoaria / BibliometrixAn R-tool for comprehensive science mapping analysis. A package for quantitative research in scientometrics and bibliometrics.
esafak / McaMultiple correspondence analysis
UniprJRC / FSDAFlexible 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.
anguyen8 / Visual Correspondence XAIOfficial code for NeurIPS 2022 paper https://arxiv.org/abs/2208.00780 Visual correspondence-based explanations improve AI robustness and human-AI team accuracy
aedin / PCAworkshopAn introduction to matrix factorization and PCA and SVD.
OlivierGarciaDev / FanalysisPython module for Factorial Analysis : Simple and Multiple Correspondence Analysis, Principal Components Analysis
robotvisionmu / Odoviz3D Odometry Visualization and Processing Tool
canlab / Canlab MKDA MetaAnalysisCoordinate-based meta-analysis for neuroimaging using Multilevel Kernel Density Analysis and various other statistical tools (chi-square, clustering, correspondence analysis, parcellation)
Rsoc / Soc.caSpecific correspondence analysis in R
niitsuma / DelayedsparseEfficient sparse matrix implementation for various "Principal Component Analysis"
xuchi7 / RPnLPose Estimation from Line Correspondences: A Complete Analysis and A Series of Solutions
TArdelean / AnomalyLocalizationFCAOfficial implementation of High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature Correspondence Analysis.
msaeltzer / BirdfishCorrespondence Analysis of Twitter Text for German MPs
ISAAKiel / ToscaTool for Online Seriation and Correspondence Analysis
hyunsooseol / SnowClusterThis 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.
YiChanLee / Correspondence Analysiscorrespondence-analysis is a python module for simple correspondence analysis (CA) and multiple correspondence analysis (MCA).
elena-sharova / Correspondence AnalysisIntroductory example to simple correspondence analysis in Python
saitejabandaru-in / Data Mining AnalyticsData mining and dimensionality reduction techniques using PCA, Correspondence Analysis, and Multivariate Data Analysis on the Iris dataset.
piercus / CorrespondenceAnalysisCorrespondence analysis implementation in javascript, works on server-side and client-side.
