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.

AuthorNan Xiao <me@nanx.me>
Date of publication2016-11-12 19:54:49
MaintainerNan Xiao <me@nanx.me>
LicenseGPL (>= 2)
Version1.3
https://github.com/road2stat/RECA

View on CRAN

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

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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