Robuta

https://deepai.org/publication/structured-sumcor-multiview-canonical-correlation-analysis-for-large-scale-data
04/24/18 - The sum-of-correlations (SUMCOR) formulation of generalized canonical correlation analysis (GCCA) seeks highly correlated low-dime...
canonical correlationlarge scalestructuredmultiviewanalysis
https://en.wikibooks.org/wiki/Statistics/Multivariate_Data_Analysis/Canonical_Correlation_Analysis
multivariate data analysiscanonical correlationopen booksstatisticswikibooks
https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2024.1489694/full
Sparse canonical correlation analysis (sCCA) has been a useful approach for integrating different high-dimensional datasets by finding a subset of correlated...
canonical correlationmicrobiome multifrontiersstructureadaptive
https://www.wallstreetmojo.com/canonical-correlation-analysis/
Guide to what is Canonical Correlation Analysis. We explain its examples, applications, advantages, disadvantages and a comparison with PCA.
canonical correlationanalysisexamplesapplications
https://www.iza.org/de/publications/dp/6942/canonical-correlation-and-assortative-matching-a-remark
In the context of the Beckerian theory of marriage, when men and women match on a single-dimensional index that is the weighted sum of their respectiv...
canonical correlationassortativematchingremarkiza
https://www.mathworks.com/help/stats/canoncorr.html
This MATLAB function computes the sample canonical coefficients for the data matrices X and Y.
canonical correlationmatlab