kylejhchen / feature-selection-mRMR

Feature selection: Minimal Redundancy and Maximal Relevance (mRMR)

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feature-selection-mRMR

Feature selection: Minimal Redundancy and Maximal Relevance (mRMR)

Data set

mfeat: https://archive.ics.uci.edu/ml/datasets/Multiple+Features

Reference

Hanchuan Peng, Fuhui Long, and Chris Ding, "Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 8, pp.1226-1238, 2005.

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Feature selection: Minimal Redundancy and Maximal Relevance (mRMR)


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Language:MATLAB 94.6%Language:M 5.4%