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RECA: Relevant Component Analysis for Supervised Distance Metric Learning

Relevant Component Analysis (RCA) tries to find a linear transformation of the feature space such that the effect of irrelevant variability is reduced in the transformed space.

Version: 1.7
Suggests: MASS
Published: 2019-05-17
DOI: 10.32614/CRAN.package.RECA
Author: Nan Xiao ORCID iD [aut, cre]
Maintainer: Nan Xiao <me at nanx.me>
BugReports: https://github.com/nanxstats/RECA/issues
License: GPL-3 | file LICENSE
URL: https://nanx.me/RECA/, https://github.com/nanxstats/RECA
NeedsCompilation: no
Materials: README
CRAN checks: RECA results

Documentation:

Reference manual: RECA.pdf

Downloads:

Package source: RECA_1.7.tar.gz
Windows binaries: r-devel: RECA_1.7.zip, r-release: RECA_1.7.zip, r-oldrel: RECA_1.7.zip
macOS binaries: r-release (arm64): RECA_1.7.tgz, r-oldrel (arm64): RECA_1.7.tgz, r-release (x86_64): RECA_1.7.tgz, r-oldrel (x86_64): RECA_1.7.tgz
Old sources: RECA archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RECA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.