Description
Relevant Component Analysis for Supervised Distance Metric Learning.
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.
README.md
RECA 
Relevant Component Analysis (RCA) for supervised distance metric learning.
Installation
Install RECA from CRAN:
install.packages("RECA")
Or try the development version on GitHub:
# install.packages("devtools")
devtools::install_github("nanxstats/RECA")
Contribute
To contribute to this project, please take a look at the Contributing Guidelines first. Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.