Minimum Redundancy Maximum Relevance (mRMR) (mRMR.m) Needs external library. See mRMR.m for details. Download a newer version of the mutual information toolbox Partial Least Squares (PLS) regression coefficients (regCoef.m) Uses plsregress.m from MATLAB statistics toolbox ReliefF (classification) and RReliefF (regression) (relieffWrapper.m) Wraps around relieff.m from the MATLAB stats toolbox. This is available MATLAB r2010b onwards. Another option for ReliefF is to use the code from ASU Feature Selection toolbox. This uses ReliefF from weka toolbox and hence needs additional libraries. Please see the corresponding documentation. Fisher Score (fisherScore.m) Wraps around fsFisher.m from the ASU Feature Selection toolbox

Filename	Size	Update
feature-selection-master	0	2018-04-26
feature-selection-master\feature-selection-master	0	2018-04-26
feature-selection-master\feature-selection-master\Readme.md	2140	2016-07-18
feature-selection-master\feature-selection-master\compareFeatSelAlgos.m	8691	2016-07-18
feature-selection-master\feature-selection-master\featSelOptions.m	1870	2016-07-18
feature-selection-master\feature-selection-master\fisherScore.m	228	2016-07-18
feature-selection-master\feature-selection-master\mRMR.m	534	2016-07-18
feature-selection-master\feature-selection-master\mycandexch.m	947	2016-07-18
feature-selection-master\feature-selection-master\optimalLoadings.m	926	2016-07-18
feature-selection-master\feature-selection-master\plots.m	6300	2016-07-18
feature-selection-master\feature-selection-master\regCoef.m	399	2016-07-18
feature-selection-master\feature-selection-master\relieffWrapper.m	106	2016-07-18
feature-selection-master\feature-selection-master\setup_feat_sel.m	478	2016-07-18

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