SVM数据分类及回归分析我要分享

SVM data classification and regression analysis

sigmoid-matlab sigmoid svc svr-SVC-svd svc-matlab

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代码描述

中文说明:基于SVM数据分类及回归分析,并采用不同的核函数如RBF,sigmoid,polynomial等


English Description:

Based on SVM data classification and regression analysis, and using different kernel functions such as RBF, sigmoid, polynomial and so on


代码预览

基于SVM数据分类及回归分析,并采用不同的核函数

.............................................\binomial.m

.............................................\centrefig.m

.............................................\cmap.mat

.............................................\Contents.m

.............................................\Examples

.............................................\........\Classification

.............................................\........\..............\iris1v23.mat

.............................................\........\..............\iris2v13.mat

.............................................\........\..............\iris3v12.mat

.............................................\........\..............\linsep.mat

.............................................\........\..............\nlinsep.mat

.............................................\........\Regression

.............................................\........\..........\example.mat

.............................................\........\..........\sinc.mat

.............................................\........\..........\titanium.mat

.............................................\nobias.m

.............................................\Optimiser

.............................................\.........\Makefile

.............................................\.........\pr_loqo.c

.............................................\.........\pr_loqo.h

.............................................\.........\qp.c

.............................................\.........\qp.dll

.............................................\qp.dll

.............................................\README.txt

.............................................\softmargin.m

.............................................\svc.m

.............................................\svcerror.m

.............................................\svcinfo.m

.............................................\svcoutput.m

.............................................\svcplot.m

.............................................\svdatanorm.m

.............................................\svkernel.m

.............................................\svr.m

.............................................\svrerror.m

.............................................\svroutput.m

.............................................\svrplot.m

.............................................\svtol.m

.............................................\uiclass.m

.............................................\uiclass.mat

.............................................\uiregress.m