RECA

RECA-package

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.

internal

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.

Nan Xiao

Relevant Component Analysis for Supervised Distance Metric
Learning

RECA-package function

Maintainer: Nan Xiao <a href="/link/me%40nanx.me?package=RECA&version=1.7" data-mini-rdoc="RECA::me@nanx.me">me@nanx.me</a> (0000-0002-0250-5673)

Author

RECA: Relevant Component Analysis for Supervised Distance Metric Learning — RECA-package

Maintainer: Nan Xiao <a href='mailto:me@nanx.me'>me@nanx.me</a> (0000-0002-0250-5673)

RECA-package: RECA: Relevant Component Analysis for Supervised Distance Metric Learning

Description

Arguments

Author

See Also