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Title: Matlab-code-of-rough-set Download
 Description: Matlab code of rough set
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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
........................\.............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
........................\neighborhood classifier\neighborhood classifier
........................\data reduction with fuzzy rough sets or fuzzy mutual information
........................\fuzzy preference rough set based feature evaluation and selection
........................\kernelized fuzzy rough set based feature evaluation selection
........................\KNN classifier
........................\neighborhood classifier
........................\neighborhood mutual information based feature evaluation and selection
........................\Neighborhood rough set based feature evaluation and reduction
........................\Ra

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