Parallelized Minimum Redundancy, Maximum Relevance (mRMR)
Computes mutual information matrices from continuous, categorical
and survival variables, as well as feature selection with minimum redundancy,
maximum relevance (mRMR) and a new ensemble mRMR technique. Published in
De Jay et al. (2013) .
Authors:
Nicolas De Jay [aut]
,
Simon Papillon-Cavanagh [aut]
,
Catharina Olsen [aut]
,
Gianluca Bontempi [aut]
,
Bo Li [aut]
,
Christopher Eeles [ctb]
,
Benjamin Haibe-Kains [aut, cre]