Information theoretic feature selection in matlab

The following Matlab project contains the source code and Matlab examples used for information theoretic feature selection. Description: Code (Matlab/C++ Mex) for the following MI based feature selection approaches: - Maximum relevance (maxRel) - Minimum redundancy maximum relevance (MRMR) - Minimum redundancy (minRed) - Quadratic programming feature selection (QPFS) - Mutual information quotient (MIQ) - Maximum relevance minimum total redundancy (MRMTR) or extended MRMR (EMRMR) - Spectral relaxation global Conditional Mutual Information (SPEC_CMI) - Conditional mutual information minimization (CMIM) - Conditional Infomax Feature Extraction (CIFE) Reference: [1] Nguyen X.

The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

Project Files: 

File NameSize
computeCMImatrix_4.cpp 6921
computeMImatrix_4.cpp 5374
demo.m 1492
demo_data.mat 51142
computeCMImatrix_4.cpp 6921
computeMImatrix_4.cpp 5374
myQPFS.m 5451
myQuantileDiscretize.m 897
mySPEC_CMI.asv 4723
mySPEC_CMI.m 4723
normalize_max.m 199
license.txt 1316

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