Introduction - If you have any usage issues, please Google them yourself
Able to realize a good classification and fitting data. Is the latest algorithm.
Packet : 57578842svm.rar filelist
svm(推荐)\binomial.m
svm(推荐)\centrefig.m
svm(推荐)\cmap.mat
svm(推荐)\Contents.m
svm(推荐)\newsvm.zip
svm(推荐)\nobias.m
svm(推荐)\qp.dll
svm(推荐)\README
svm(推荐)\softmargin.m
svm(推荐)\svc.m
svm(推荐)\svcerror.m
svm(推荐)\svcinfo.m
svm(推荐)\svcoutput.m
svm(推荐)\svcplot.m
svm(推荐)\svdatanorm.m
svm(推荐)\svkernel.m
svm(推荐)\svr.m
svm(推荐)\svrerror.m
svm(推荐)\svroutput.m
svm(推荐)\svrplot.m
svm(推荐)\svtol.m
svm(推荐)\uiclass.m
svm(推荐)\uiclass.mat
svm(推荐)\uiregress.m
svm(推荐)\uiregress.mat
svm(推荐)\Optimiser\Makefile
svm(推荐)\Optimiser\pr_loqo.c
svm(推荐)\Optimiser\pr_loqo.h
svm(推荐)\Optimiser\qp.c
svm(推荐)\Optimiser\qp.dll
svm(推荐)\Optimiser
svm(推荐)\Examples\Regression\example.mat
svm(推荐)\Examples\Regression\sinc.mat
svm(推荐)\Examples\Regression\titanium.mat
svm(推荐)\Examples\Regression
svm(推荐)\Examples\Classification\iris1v23.mat
svm(推荐)\Examples\Classification\iris2v13.mat
svm(推荐)\Examples\Classification\iris3v12.mat
svm(推荐)\Examples\Classification\linsep.mat
svm(推荐)\Examples\Classification\nlinsep.mat
svm(推荐)\Examples\Classification
svm(推荐)\Examples
svm(推荐)