Canonical Analysis using R Notebook

Official Implementation of "Multimodal Analysis of PNC Data via Sparse GCA"

Repo for the article on "Modeling the Neurocognitive Dynamics of Language across the Lifespan"

Assignment for Fall 2017 CS289: Machine Learning

MATLAB and R Code for sparse GCA

PhD thesis on data integration on inflammatory bowel disease

Open dataset and code for Canonical Correlation Analysis of air quality and meteorological variables in Bucaramanga, Colombia (2021–2023). Includes raw and processed data, R/SAS scripts, and FAIR/open science documentation.

COPER: Correlation-based Permutations for Multi-View Clustering (ICLR 2025)

Canonical Correlation Analysis.

R/cvma: Cross-validation-based maximal associations

A data-driven project performing CCA on Our World in Data datasets to analyse how measurable societal aspects relate to subjective human experiences like happiness and trust

Multivariate data analysis using R Studio.

Official Implementation of Nonlinear Sparse Generalized Canonical Correlation Analysis (NSGCCA)

Modelling spawnings on Pokémon Go 🪄 using multivariate statistical algorithms 🎰

❗ RGCCA — Regularized and Sparse Generalized Canonical Correlation Analysis for Multiblock Data

Generalized Canonical Correlation Analysis - python 3 version

This project implements canonical correlation analysis between two data matrices. I first create the latent dimensions between the two data matrices. Then I use Kmeans and hierarchical clustering on principal component to group individuals using the latent dimensions and the distance created by the canonical analysis. Last step, I give a profili…

The code of the paper: M. Karami, D. Schuurmans, "Deep Probabilistic Canonical Correlation Analysis" AAAI 2021