Matlab code of rough set

........................\data reduction with fuzzy rough sets or fuzzy mutual information

........................\................................................................\demo.m

........................\................................................................\entropy.m

........................\................................................................\entropy_interval.m

........................\................................................................\fs_con_N.m

........................\................................................................\fs_entropy.asv

........................\................................................................\fs_entropy.m

........................\................................................................\fs_neighbor.asv

........................\................................................................\fs_neighbor.m

........................\................................................................\kersim.m

........................\................................................................\kersim_crisp.m

........................\................................................................\wine.mat

........................\fuzzy preference rough set based feature evaluation and selection

........................\.................................................................\FGC.m

........................\.................................................................\FLC.m

........................\.................................................................\FS_PL_FRS.m

........................\.................................................................\FS_PL_RS.m

........................\.................................................................\FUC.m

........................\.................................................................\GC.m

........................\.................................................................\LC.m

........................\.................................................................\UC.m

........................\kernelized fuzzy rough set based feature evaluation selection

........................\.............................................................\certainty_s_gs.m

........................\.............................................................\certainty_theta_gs.m

........................\.............................................................\dependency_s_gs.m

........................\.............................................................\dependency_theta_gs.m

........................\.............................................................\FS_GKFS.m

........................\KNN classifier

........................\..............\KNN.m

........................\neighborhood classifier

........................\.......................\neighborhood classifier

........................\.......................\.......................\KNN.m

........................\.......................\.......................\NEC.m

........................\neighborhood mutual information based feature evaluation and selection

........................\......................................................................\FS_FW_NE.m

........................\......................................................................\NMI.m

........................\Neighborhood rough set based feature evaluation and reduction

........................\.............................................................\clsf_dpd.m

........................\.............................................................\clsf_dpd_fast.m

........................\.............................................................\clsf_dpd_fast2.m

........................\.............................................................\clsf_dpd_fast_3.m

........................\.............................................................\NRS_FW_FS.m

........................\Ranking heterogeneous features with mRMR and mutual information

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