plotsvgraph.m

基于Matlab的SVM模式分类方法的实验系统,有仿真实验

function [X,Y,net,T]=plotsvGraph(X,Y, x1ran, x2ran)

net = svm(size(X, 2), 'linear', [], 10);
T1=cputime
net = svmtrain(net, X, Y);
T=cputime-T1;

plotboundary2(net, x1ran, x2ran);
plotdata2(X, Y);
plotsv(net, X, Y);

title(['核函数( Linear)- : 决策边界(黑)' ...
       '  支持向量(绿)']);