RECA (1.3)

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.

Maintainer: Nan Xiao
Author(s): Nan Xiao <>

License: GPL (>= 2)

Uses: MASS

Released over 3 years ago.