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Title: feature-selection-master Download
  • Category:
  • matlab
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  • File Size:
  • 11kb
  • Update:
  • 2018-04-26
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  • Uploaded by:
  • smilingcost
 Description: 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 Download a newer version of the mutual information toolbox Partial Least Squares (PLS) regression coefficients (regCoef.m) Uses plsregress.m from MATLAB statistics toolbox ReliefF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
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FilenameSizeDate
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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