hsicCCA: Canonical Correlation Analysis based on Kernel Independence Measures

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

Author
Billy Chang
Date of publication
2013-03-14 07:21:57
Maintainer
Billy Chang <billy.chang@mail.utoronto.ca>
License
GPL-2
Version
1.0

View on CRAN

Man pages

hsicCCA
Canonical Correlation Analysis based on the Hilbert-Schmidt...
hsicCCAfunc
Canonical Correlation Analysis based on the Hilbert-Schmidt...
hsicCCA-package
Canonical Correlation Analysis based on Kernel Independence...
ktaCCA
Canonical Correlation Analysis based on the Centered Kernel...
ktaCCAfunc
Canonical Correlation Analysis based on the centered kernel...
sumWtDiff
Sum of Weighted Pairwise Outer Differences.

Files in this package

hsicCCA
hsicCCA/MD5
hsicCCA/R
hsicCCA/R/hsicCCAFiles.R
hsicCCA/NAMESPACE
hsicCCA/man
hsicCCA/man/sumWtDiff.Rd
hsicCCA/man/ktaCCAfunc.Rd
hsicCCA/man/ktaCCA.Rd
hsicCCA/man/hsicCCAfunc.Rd
hsicCCA/man/hsicCCA.Rd
hsicCCA/man/hsicCCA-package.Rd
hsicCCA/DESCRIPTION