Matlab code of rough set

[{"title":"（ 35 个子文件 39KB ） Matlab code of rough set","children":[{"title":"Matlab code of rough set","children":[{"title":"基于邻域互信息的特征评价与选择","children":[{"title":"FS_FW_NE.m <span style='color:#111;'> 2.17KB </span>","children":null,"spread":false},{"title":"NMI.m <span style='color:#111;'> 649B </span>","children":null,"spread":false}],"spread":true},{"title":"基于邻域粗糙集的特征评价与约简","children":[{"title":"clsf_dpd_fast_3.m <span style='color:#111;'> 1.49KB </span>","children":null,"spread":false},{"title":"clsf_dpd_fast2.m <span style='color:#111;'> 1.79KB </span>","children":null,"spread":false},{"title":"NRS_FW_FS.m <span style='color:#111;'> 3.25KB </span>","children":null,"spread":false},{"title":"clsf_dpd_fast.m <span style='color:#111;'> 1.55KB </span>","children":null,"spread":false},{"title":"clsf_dpd.m <span style='color:#111;'> 1.42KB </span>","children":null,"spread":false}],"spread":true},{"title":"邻域分类器","children":[{"title":"neighborhood classifier","children":[{"title":"NEC.m <span style='color:#111;'> 1.75KB </span>","children":null,"spread":false},{"title":"KNN.m <span style='color:#111;'> 1.74KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"排名MRMR和互信息的异质性特征","children":[{"title":"MI_mRMR.m <span style='color:#111;'> 4.58KB </span>","children":null,"spread":false}],"spread":true},{"title":"基于特征选择评价核模糊粗糙集","children":[{"title":"dependency_s_gs.m <span style='color:#111;'> 1.16KB </span>","children":null,"spread":false},{"title":"certainty_s_gs.m <span style='color:#111;'> 1.23KB </span>","children":null,"spread":false},{"title":"dependency_theta_gs.m <span style='color:#111;'> 1.18KB </span>","children":null,"spread":false},{"title":"certainty_theta_gs.m <span style='color:#111;'> 1.29KB </span>","children":null,"spread":false},{"title":"FS_GKFS.m <span style='color:#111;'> 2.50KB </span>","children":null,"spread":false}],"spread":true},{"title":"基于模糊粗糙集或模糊互信息的数据约简","children":[{"title":"fs_entropy.asv <span style='color:#111;'> 2.42KB </span>","children":null,"spread":false},{"title":"wine.mat <span style='color:#111;'> 9.33KB </span>","children":null,"spread":false},{"title":"fs_neighbor.asv <span style='color:#111;'> 2.63KB </span>","children":null,"spread":false},{"title":"entropy.m <span style='color:#111;'> 164B </span>","children":null,"spread":false},{"title":"fs_entropy.m <span style='color:#111;'> 2.81KB </span>","children":null,"spread":false},{"title":"entropy_interval.m <span style='color:#111;'> 682B </span>","children":null,"spread":false},{"title":"fs_con_N.m <span style='color:#111;'> 2.38KB </span>","children":null,"spread":false},{"title":"kersim_crisp.m <span style='color:#111;'> 94B </span>","children":null,"spread":false},{"title":"demo.m <span style='color:#111;'> 495B </span>","children":null,"spread":false},{"title":"kersim.m <span style='color:#111;'> 230B </span>","children":null,"spread":false},{"title":"fs_neighbor.m <span style='color:#111;'> 2.66KB </span>","children":null,"spread":false}],"spread":false},{"title":"KNN分类器","children":[{"title":"KNN.m <span style='color:#111;'> 1.34KB </span>","children":null,"spread":false}],"spread":true},{"title":"基于模糊偏好粗糙集的特征评价与选择","children":[{"title":"GC.m <span style='color:#111;'> 1.98KB </span>","children":null,"spread":false},{"title":"FS_PL_RS.m <span style='color:#111;'> 1.91KB </span>","children":null,"spread":false},{"title":"FUC.m <span style='color:#111;'> 1.24KB </span>","children":null,"spread":false},{"title":"FGC.m <span style='color:#111;'> 2.14KB </span>","children":null,"spread":false},{"title":"FLC.m <span style='color:#111;'> 1.23KB </span>","children":null,"spread":false},{"title":"UC.m <span style='color:#111;'> 1.17KB </span>","children":null,"spread":false},{"title":"FS_PL_FRS.m <span style='color:#111;'> 2.12KB </span>","children":null,"spread":false},{"title":"LC.m <span style='color:#111;'> 1.14KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]