Tensor-based Multiple Canonical Correlation Analysis
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Updated
May 31, 2024 - R
Tensor-based Multiple Canonical Correlation Analysis
TreeCorTreat
Thresholded Ordered Sparse CCA
Repo for the article on "Modeling the Neurocognitive Dynamics of Language across the Lifespan"
Multivariate data analysis using R Studio.
❗ RGCCA — Regularized and Sparse Generalized Canonical Correlation Analysis for Multiblock Data
Case Study in ranking U.S. cities based on a single linear combination of rating variables. Dimensionality techniques used in the analysis are Principal Component Analysis (PCA), Factor Analysis (FA), Canonical Correlation Analysis (CCA)
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…
Unsupervised Learning
MoMA: Modern Multivariate Analysis in R
Cross-validation-based maximal associations
R/cvma: Cross-validation-based maximal associations
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