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.

Install the latest version of this package by entering the following in R:
AuthorNan Xiao <>
Date of publication2016-11-12 19:54:49
MaintainerNan Xiao <>
LicenseGPL (>= 2)

View on CRAN


Questions? Problems? Suggestions? or email at

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.