road2stat/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.
Getting started
Browse package contents
Package details |
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| Maintainer | Nan Xiao <me@nanx.me> |
| License | GPL-3 | file LICENSE |
| Version | 1.7 |
| URL | https://nanx.me/RECA/ https://github.com/nanxstats/RECA |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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