no code implementations • 13 Jul 2015 • José R. Berrendero, Antonio Cuevas, José L. Torrecilla
The mRMR (minimum Redundance Maximum Relevance) procedure, proposed by Ding and Peng (2005) and Peng et al. (2005) is an algorithm to systematically perform variable selection, achieving a reasonable trade-off between relevance and redundancy.