hsicCCA: Canonical Correlation Analysis based on Kernel Independence Measures

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

Version:	1.0
Published:	2013-03-14
Author:	Billy Chang
Maintainer:	Billy Chang <billy.chang at mail.utoronto.ca>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	hsicCCA results

Documentation:

Reference manual:

hsicCCA.pdf

Downloads:

Package source:	hsicCCA_1.0.tar.gz
Windows binaries:	r-devel: hsicCCA_1.0.zip, r-release: hsicCCA_1.0.zip, r-oldrel: hsicCCA_1.0.zip
macOS binaries:	r-release (arm64): hsicCCA_1.0.tgz, r-oldrel (arm64): hsicCCA_1.0.tgz, r-release (x86_64): hsicCCA_1.0.tgz, r-oldrel (x86_64): hsicCCA_1.0.tgz

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