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hsicCCA (version 1.0)

Canonical Correlation Analysis based on Kernel Independence Measures

Description

Canonical correlation analysis that extracts nonlinear correlation through the use of Hilbert Schmidt Independence Criterion and Centered Kernel Target Alignment.

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Version

Install

install.packages('hsicCCA')

Monthly Downloads

7

Version

1.0

License

GPL-2

Maintainer

Billy Chang

Last Published

March 14th, 2013

Functions in hsicCCA (1.0)

sumWtDiff

Sum of Weighted Pairwise Outer Differences.
ktaCCAfunc

Canonical Correlation Analysis based on the centered kernel target alignment.
hsicCCA

Canonical Correlation Analysis based on the Hilbert-Schmidt Independence Criterion.
hsicCCA-package

Canonical Correlation Analysis based on Kernel Independence Measures
hsicCCAfunc

Canonical Correlation Analysis based on the Hilbert-Schmidt Independence Criterion.
ktaCCA

Canonical Correlation Analysis based on the Centered Kernel Target Alignment.