文件名称:zhichixiangliangjisuanfa(svm)
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- 上传时间：2015-10-27
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SVM支持向量机分类训练算法的matlab实现，对正负样本的分类效果很好.-SVM support vector machine classification training algorithm matlab implementation, the positive and negative samples of the classification effect is very good..
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zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/binomial.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/centrefig.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/cmap.mat
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Contents.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Examples/Classification/iris1v23.mat
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Examples/Classification/iris2v13.mat
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Examples/Classification/iris3v12.mat
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Examples/Classification/linsep.mat
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Examples/Classification/nlinsep.mat
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Examples/Regression/example.mat
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Examples/Regression/sinc.mat
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Examples/Regression/titanium.mat
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/newsvm.zip
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/nobias.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Optimiser/Makefile
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Optimiser/pr_loqo.c
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Optimiser/pr_loqo.h
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Optimiser/qp.c
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Optimiser/qp.dll
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/qp.dll
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/README
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/softmargin.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/svc.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/svcerror.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/svcinfo.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/svcoutput.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/svcplot.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/svdatanorm.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/svkernel.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/svr.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/svrerror.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/svroutput.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/svrplot.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/svtol.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/uiclass.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/uiclass.mat
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/uiregress.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/uiregress.mat
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Examples/Classification
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Examples/Regression
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Examples
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Optimiser
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)
zhichixiangliangjisuanfa(svm)
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/centrefig.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/cmap.mat
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Contents.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Examples/Classification/iris1v23.mat
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Examples/Classification/iris2v13.mat
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Examples/Classification/iris3v12.mat
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Examples/Classification/linsep.mat
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Examples/Classification/nlinsep.mat
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Examples/Regression/example.mat
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Examples/Regression/sinc.mat
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Examples/Regression/titanium.mat
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/newsvm.zip
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/nobias.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Optimiser/Makefile
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Optimiser/pr_loqo.c
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Optimiser/pr_loqo.h
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Optimiser/qp.c
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Optimiser/qp.dll
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/qp.dll
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/README
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/softmargin.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/svc.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/svcerror.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/svcinfo.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/svcoutput.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/svcplot.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/svdatanorm.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/svkernel.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/svr.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/svrerror.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/svroutput.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/svrplot.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/svtol.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/uiclass.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/uiclass.mat
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/uiregress.m
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/uiregress.mat
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Examples/Classification
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Examples/Regression
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Examples
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)/Optimiser
zhichixiangliangjisuanfa(svm)/zhichixiangliangjisuanfa(svm)
zhichixiangliangjisuanfa(svm)
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