Description: 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.
Figure: Upper panel is the pattern x feature matrix
Lower panel left are the features selected
Lower panel right is the CCR curve during feature selection steps
Right panel is the classification results of some patterns.
This software was developed using Matlab 7.5 and Windows XP.
Copyright: D. Ververidis and C.Kotropoulos
AIIA Lab, Thessaloniki, Greece,
jimver@aiia.csd.auth.gr
costas@aiia.csd.auth.gr
File list (Check if you may need any files):
CalcInfoLoss.m
CCRForOptSet.m
DataLoadAndPreprocess.m
DEMO.fig
DEMO.m
ForwSel_main.m
LoadFromTXTfiles.m
ReliefF.m
SettingsMenuFig.fig
SettingsMenuFig.m
Trigger.m
VersionUpgrades.txt
Help\AuthorsVerveridis.doc
....\AuthorsVerveridis.htm
....\dimsmall.jpg
....\Readme.doc
....\.......files\filelist.xml
....\............\image001.jpg
....\............\image002.jpg
....\Readme.files
....\Readme.htm
....\Verver_ElsSigPro_08.pdf
Help
icons\PlayBlueIcon.tif
.....\StopBlueIcon.tif
.....\Thumbs.db
icons
LowLevelFunctions\FactorGamma.m
.................\ShowConfMat.m
LowLevelFunctions
PatTargMatrices\finalvecKidsVR.mat
PatTargMatrices
Results
BackSel_main.m
BayesClassMVGaussPDFs.m
BayesClassValidationSet.m
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