Minimum redundancy feature selection

Minimum redundancy maximum relevance feature selection in matlab

The following Matlab project contains the source code and Matlab examples used for minimum redundancy maximum relevance feature selection. Two source code files of the mRMR (minimum-redundancy maximum-relevancy) feature selection method in (Peng et al, 2005 and Ding & Peng, 2005, 2003), whose better performance over the conventional top-ranking method has been demonstrated on a number of data sets in recent publications.
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