VM classifier usually has a higher classification accuracy. I do not want too much here to say how the matter SVM, SVM is used to provide a method for identification. The combination of decision tree and SVM, can be divided into many types.

SVM 决策树5
...........\2009416.doc
...........\classpartition.m
...........\DecisionTree.asv
...........\DecisionTree.m
...........\houhou.doc
...........\kernel.m
...........\Main_SVC_C.m
...........\Preorder.asv
...........\Preordercreate.asv
...........\Preordercreate.m
...........\Preordertraverse.asv
...........\Preordertraverse.m
...........\setup.doc
...........\svc.asv
...........\svc.m
...........\svmSim.m
...........\svmTrain.m
...........\test.mdb
...........\Testdata.m
...........\tezhengtiqu.asv
...........\Traningtree.asv
...........\Traningtree.m
...........\Tree.asv
...........\Tree.m
...........\Tree2.m
...........\Untitled.m
...........\先序生成树.txt

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