Matlab code of rough set




File list:
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
.......................\...............................................................\MI_mRMR.m