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.

Author
Nan Xiao <me@nanx.me>
Date of publication
2016-11-12 19:54:49
Maintainer
Nan Xiao <me@nanx.me>
License
GPL (>= 2)
Version
1.3
URLs

View on CRAN

Man pages

rca
Relevant Component Analysis
RECA-package
Relevant Component Analysis

Files in this package

RECA
RECA/NAMESPACE
RECA/R
RECA/R/rca.R
RECA/R/RECA-package.R
RECA/README.md
RECA/MD5
RECA/DESCRIPTION
RECA/man
RECA/man/rca.Rd
RECA/man/RECA-package.Rd