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
Author: Nan Xiao ORCID iD [aut, cre]
Maintainer: Nan Xiao <me at>
License: GPL-3 | file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: RECA results


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


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