Regularized canonical correlation analysis
id:
regularized-canonical-correlation-analysis-287-11944845
title:
Regularized canonical correlation analysis
text:
Regularized canonical correlation analysis is a way of using ridge regression to solve the singularity problem in the cross-covariance matrices of canonical correlation analysis. By converting cov and cov into cov + λ I X and cov + λ I Y , it ensures that the above matrices will have reliable inverses. The idea probably dates back to Hrishikesh D. Vinod's publication in 1976 where he called it "Canonical ridge".
It has been suggested for use in the analysis of functional neuroimaging dat
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wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Regularized_canonical_correlation_analysis
date created:
date modified:
2022-10-22T23:10:16Z
main entity:
{"identifier":"Q17051935","url":"https://www.wikidata.org/entity/Q17051935"}
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fields total:
13
integrity:
13