RECA (1.7)

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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 [aut, cre] (<>)

License: GPL-3 | file LICENSE

Uses: MASS

Released about 1 month ago.

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