exc3.m

svm classification and regression code

X=[-0.4 0;0.5 0.5;0.5 0;0.5 -0.5;0 0.5;0 -0.5;-0.5 0.5;-0.5 -0.5;0.5 0; 0.1 0.4];
N=size(X,1);
X=[X;X+rand(N,2).*0.05;X.*2.5;X.*2.5+rand(N,2).*0.05]
N=size(X,1);

Y=zeros(N./2,1)+1;
Y=[Y;zeros(N./2,1)-1];
global p1;
global Yt;
p1=5.0;
ker='rbf';
[nsv, alpha, bias,Xs,Ys,alphas] = svc(X,Y,ker);
[h] = svcplot(X,Y,ker,alpha,bias);
figure(2)
Xt=X+rand(N,2).*0.02;
[h] = svcplot(Xt,Y,ker,alpha,bias);