Mrmr feature selection (using mutual information computation) in matlab

The following Matlab project contains the source code and Matlab examples used for mrmr feature selection (using mutual information computation). This package is 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.

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
condentropy.m 1034
condmutualinfo.m 1237
demo_mi.m 724
entropy.m 761
estcondentropy.dll 40960
estcondentropy.mexglx 125024
estcondentropy.mexmac 54608
estentropy.dll 40960
estentropy.mexglx 7255
estentropy.mexmac 53908
estjointentropy.dll 40960
estjointentropy.mexglx 124769
estjointentropy.mexmac 54608
estmutualinfo.dll 40960
estmutualinfo.mexglx 125610
estmutualinfo.mexmac 54644
estpa.dll 40960
estpa.mexglx 127488
estpa.mexmac 59216
estpab.dll 40960
estpab.mexglx 128216
estpab.mexmac 59180
findjointstateab.dll 40960
findjointstateab.mexglx 129114
findjointstateab.mexmac 59260
jointentropy.m 924
makeosmex.m 599
mergemultivariables.m 1099
mutualinfo.m 604
mrmr_mibase_d.m 363
mrmr_mid_d.m 1277
mrmr_miq_d.m 1351
Readme_0.9.txt 1686

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