文件名称:roughset
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粗糙集matlab算法,有属性约简,值约简,规则生成等多种算法。-Neighborhood rough set based feature evaluation and reduction
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下载文件列表
roughset\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
........\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
........\.............................................................\Ranking heterogeneous features with mRMR and mutual information\MI_mRMR.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
........\kernelized fuzzy rough set based feature evaluation selection\Ranking heterogeneous features with mRMR and mutual information
........\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
roughset
........\................................................................\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
........\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
........\.............................................................\Ranking heterogeneous features with mRMR and mutual information\MI_mRMR.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
........\kernelized fuzzy rough set based feature evaluation selection\Ranking heterogeneous features with mRMR and mutual information
........\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
roughset