Information for "Generalized canonical correlation"

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Display title	Generalized canonical correlation
Default sort key	Generalized canonical correlation
Page length (in bytes)	2,124
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Page ID	201649
Page content language	en - English
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Page creator	imported>MedAI
Date of page creation	09:15, 5 November 2020
Latest editor	imported>MedAI
Date of latest edit	09:15, 5 November 2020
Total number of edits	1
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Description	Content
Article description: (`description`) This attribute controls the content of the `description` and `og:description` elements.	In statistics, the generalized canonical correlation analysis (gCCA), is a way of making sense of cross-correlation matrices between the sets of random variables when there are more than two sets. While a conventional CCA generalizes principal component analysis (PCA) to two sets of random variables...

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