Package: RECA 1.7

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.

Authors:Nan Xiao [aut, cre]

RECA_1.7.tar.gz
RECA_1.7.zip(r-4.5)RECA_1.7.zip(r-4.4)RECA_1.7.zip(r-4.3)
RECA_1.7.tgz(r-4.5-any)RECA_1.7.tgz(r-4.4-any)RECA_1.7.tgz(r-4.3-any)
RECA_1.7.tar.gz(r-4.5-noble)RECA_1.7.tar.gz(r-4.4-noble)
RECA_1.7.tgz(r-4.4-emscripten)RECA_1.7.tgz(r-4.3-emscripten)
RECA.pdf |RECA.html✨
RECA/json (API)

# Install 'RECA' in R:
install.packages('RECA', repos = c('https://nanxstats.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/nanxstats/reca/issues

Pkgdown site:https://nanx.me

On CRAN:

Conda:

machine-learningmetric-learning

4.02 score 7 stars 4 scripts 211 downloads 3 mentions 1 exports 0 dependencies

Last updated 11 months agofrom:bd22f37e74. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 11 2025
R-4.5-winOKFeb 11 2025
R-4.5-macOKFeb 11 2025
R-4.5-linuxOKFeb 11 2025
R-4.4-winOKFeb 11 2025
R-4.4-macOKFeb 11 2025
R-4.3-winOKFeb 11 2025
R-4.3-macOKFeb 11 2025

Exports:rca

Dependencies: