MaxHalford/prince

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

Language: Python - Size: 8.54 MB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 1,396 - Forks: 186

hyunsooseol/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.

Language: R - Size: 439 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 9 - Forks: 2

massimoaria/bibliometrix

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

Language: R - Size: 137 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 570 - Forks: 160

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 - Size: 941 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 93 - Forks: 42

scollinselliott/lakhesis

Consensus Seriation for Binary Data

Language: R - Size: 3.09 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 5 - Forks: 0

Biometris/douconca

Analysis of multi-trait multi-environment ecological data using double constrained correspondence analysis

Language: R - Size: 14.8 MB - Last synced at: 2 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

niitsuma/delayedsparse

Efficient sparse matrix implementation for various "Principal Component Analysis"

Language: Python - Size: 26.4 KB - Last synced at: about 2 months ago - Pushed at: almost 7 years ago - Stars: 12 - Forks: 2

OlivierGarciaDev/fanalysis

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

Language: Python - Size: 2.18 MB - Last synced at: 3 days ago - Pushed at: over 7 years ago - Stars: 27 - Forks: 24

crisahu777/factorial

The factorial function in mathematics is used to calculate the product of all positive integers up to a given number.Factorials are denoted by the exclamation mark (!) and are commonly used in permutations and combinations in combinatorial mathematics.

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lfelipecas/ca-in-practice

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craigchamplin/Drift-Metric-Files

Data and code supporting "Using odometry drift to match ILI joint boundaries for run comparisons" in IJ-PVPT - Feb 2025

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Marios-Mamalis/mca-visualisation

A script for automatic visualisation of Multiple Correspondence Analysis (MCA) results from FactoMineR in 3 dimensions using Plotly (exported as html)

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juliataborek/Polish-political-scene

Language: R - Size: 19 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

JRigh/Correspondence-Analysis-in-R-and-Python

Correspondence Analysis in R and Python

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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

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CajoterBraak/dcCA

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

Language: R - Size: 296 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

isadays/Unsupervised-ML

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

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YiChanLee/correspondence-analysis

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

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sgoettel/epistoMap_csv

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

Language: Python - Size: 541 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

aedin/PCAworkshop

An introduction to matrix factorization and PCA and SVD.

Language: TeX - Size: 9.26 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 35 - Forks: 12

Cbhihe/visualCity

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

Language: R - Size: 154 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1

valinsogna/EthicalAI-STACKAnalysis

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

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UtrechtUniversity/SCCA

Spectral Clustering Correspondence Analysis

Language: R - Size: 2.5 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 2

HerveAbdi/R4SPISE2022

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

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robotvisionmu/odoviz

3D Odometry Visualization and Processing Tool

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AlexiaNomena/Correspondence_Analysis_User_Friendly

Correspondence Analysis with python

Language: Python - Size: 1.25 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0

Ruiping-LIU/SparseCA0

Sparse Correspondence Analysis for Large Contingency Tables

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Rushi314/UMass_3D_Computer_Vision

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

Language: Python - Size: 26.1 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 1

bharadwaj-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 - Size: 17.6 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Cbhihe/Multivariate-analysis

Multivariate analysis (MVA) of high dimensional heterogeneous data

Language: R - Size: 8.56 MB - Last synced at: 7 months ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0

vguillemot/sparseCorrespondenceAnalysis

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

Language: R - Size: 758 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

bnafack/Corpus_analysis

Analysis of Svevo’s letters corpus, machine learning assignment

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adepreis/FunWithFlags Fork of 0xWryth/FunWithFlags

🚩 Flag charaterization thanks to data-science

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ankitbit/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"

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vogelino/letterstori.es-raoul-hausmann

A visualisation of correspondences of Raoul Hausmann 👨🏻‍🎨

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zakariamejdoul/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 - Size: 7.26 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

Marcus-V-Freitas/Anacor_Distribuicao_EPIs

Análise de Correspondência Simples da distribuição de EPI's nos estados brasileiros pelo Ministério da Saúde.

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Marcus-V-Freitas/Analise_Correspondencia_simples_agricultura

Análise de Correspondência Simple utilizando dados da compra de Commodities do estado Maharashtra (índia) entre 2014 e 2016 no R Notebook.

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Marcus-V-Freitas/Analise_Correspondencia_Covid

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

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abhish-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 .

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GrantBaker576/KDBmachinelearning

Machine Learning with KDB

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nrv/myCA

Very simple CA (correspondance analysis) implementation in R allowing to easily project supplementary rows afterwards

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fahd09/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 - Size: 55.6 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 6 - Forks: 2

niitsuma/wordca

Distributed words representations using Correspondence Analysis

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