Feature selection using matlab

The following Matlab project contains the source code and Matlab examples used for feature selection using matlab. The DEMO includes 5 feature selection algorithms: • Sequential Forward Selection (SFS) • Sequential Floating Forward Selection (SFFS) • Sequential Backward Selection (SBS) • Sequential Floating Backward Selection (SFBS) • ReliefF Two CCR estimation methods: • Cross-validation • Resubstitution After selecting the best feature subset, the classifier obtained can be used for classifying any pattern.

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
license.txt 1348
BackSel_main.m 23988
BayesClassMVGaussPDFs.m 9497
BayesClassValidationSet.m 2371
CalcInfoLoss.m 4422
CCRForOptSet.m 7915
DataLoadAndPreprocess.m 5432
DEMO.fig 19208
DEMO.m 12433
ForwSel_main.m 20375
AuthorsVerveridis.doc 69120
AuthorsVerveridis.htm 33198
dimsmall.jpg 2487
Readme.doc 522240
filelist.xml 196
image001.jpg 488380
image002.jpg 53345
Readme.htm 18676
Verver_ElsSigPro_08.pdf 511517
PlayBlueIcon.tif 9544
StopBlueIcon.tif 9596
Thumbs.db 8192
LoadFromTXTfiles.m 2938
FactorGamma.m 1105
ShowConfMat.m 1391
finalvecKidsVR.mat 1839979
ReliefF.m 9921
SettingsMenuFig.fig 4521
SettingsMenuFig.m 5407
Trigger.m 3710
VersionUpgrades.txt 213