Canonical correlation

id: canonical-correlation-206-13737458
title: Canonical correlation
text: In statistics, canonical-correlation analysis (CCA), also called canonical variates analysis, is a way of inferring information from cross-covariance matrices. If we have two vectors X = (X1, ..., Xn) and Y = (Y1, ..., Ym) of random variables, and there are correlations among the variables, then canonical-correlation analysis will find linear combinations of X and Y that have a maximum correlation with each other. T. R. Knapp notes that "virtually all of the commonly encountered parametric tests
brand slug: wiki
category slug: encyclopedia
description: Way of inferring information from cross-covariance matrices
original url: https://en.wikipedia.org/wiki/Canonical_correlation
date created: 2003-11-11T21:55:46Z
date modified: 2024-09-10T20:08:18Z
main entity: {"identifier":"Q115542","url":"https://www.wikidata.org/entity/Q115542"}
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fields total: 13
integrity: 15

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