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


Reference manual: hsicCCA.pdf
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
OS X binaries: r-release: hsicCCA_1.0.tgz, r-oldrel: hsicCCA_1.0.tgz


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