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.
DEMO VERSION:
DEMO VERSION: