Feature Selection for Python and Matlab

Feature selection algorithms with graphical user interface for loading a pattern x features matrix and selecting the subset of features that maximizes correct classification rate. The proposed Sequential Forward Selection (SFS) employs preliminary rejections and tentative cross-validation repetittions, to improve the speed and the accuracy of SFS, respectively. Further information can be found in journal paper [4] and conference announcement [15]. A demo version can be downloaded from Download from Matlab file exchage site.



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