hsicCCA: Canonical Correlation Analysis based on Kernel Independence Measures
Version 1.0

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

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AuthorBilly Chang
Date of publication2013-03-14 07:21:57
MaintainerBilly Chang <billy.chang@mail.utoronto.ca>
LicenseGPL-2
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("hsicCCA")

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.

Functions

hsicCCA Man page Source code
hsicCCA-package Man page
hsicCCAfunc Man page Source code
ktaCCA Man page Source code
ktaCCAfunc Man page Source code
sumWtDiff Man page Source code

Files

MD5
R
R/hsicCCAFiles.R
NAMESPACE
man
man/sumWtDiff.Rd
man/ktaCCAfunc.Rd
man/ktaCCA.Rd
man/hsicCCAfunc.Rd
man/hsicCCA.Rd
man/hsicCCA-package.Rd
DESCRIPTION
hsicCCA documentation built on May 19, 2017, 8:21 p.m.