RECA

RECA-package

<img src="figures/logo.png?package=RECA&version=1.7.1" style="float: right" alt="logo" width="120">
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=1.7.1" data-mini-rdoc="RECA::me@nanx.me">me@nanx.me</a> (<a href="https://orcid.org/0000-0002-0250-5673">ORCID</a>) [copyright holder]

Author

<img src='figures/logo.png' style='float: right' alt='logo' width='120' />
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.

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

Maintainer: Nan Xiao <a href='mailto:me@nanx.me'>me@nanx.me</a> (<a href='https://orcid.org/0000-0002-0250-5673'>ORCID</a>) [copyright holder]

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

Description

Arguments

Author

See Also