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RECA  

Relevant Component Analysis for Supervised Distance Metric Learning
View on CRAN: Click here


Download and install RECA package within the R console
Install from CRAN:
install.packages("RECA")

Install from Github:
library("remotes")
install_github("cran/RECA")

Install by package version:
library("remotes")
install_version("RECA", "1.7.1")



Attach the package and use:
library("RECA")
Maintained by
Nan Xiao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-08-16
Latest Update: 2025-07-28
Description:
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.
How to cite:
Nan Xiao (2014). RECA: Relevant Component Analysis for Supervised Distance Metric Learning. R package version 1.7.1, https://cran.r-project.org/web/packages/RECA. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:18), 1.0 (2014-08-16 10:45), 1.1 (2014-12-16 00:50), 1.3 (2016-11-12 19:54), 1.5 (2018-04-20 14:59), 1.6 (2018-05-16 20:29), 1.7 (2019-05-17 22:40)
Other packages that cited RECA R package
View RECA citation profile
Other R packages that RECA depends, imports, suggests or enhances
Complete documentation for RECA
Functions, R codes and Examples using the RECA R package
Some associated functions: RECA-package . rca . 
Some associated R codes: RECA-package.R . rca.R .  Full RECA package functions and examples
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