[matlab]机器学习及SVM工具箱学习笔记

    clear;
    N = 50;
    n=2*N;
    randn(‘state‘,6);
    x1 = randn(2,N)
    y1 = ones(1,N);
    x2 = 5+randn(2,N);
    y2 = -ones(1,N);
    figure;
    plot(x1(1,:),x1(2,:),‘bx‘,x2(1,:),x2(2,:),‘k.‘);
    axis([-3 8 -3 8]);
    title(‘C-SVC‘)
    hold on;
    X1 = [x1,x2];
    Y1 = [y1,y2];  
    X=X1‘;
    Y=Y1‘;
    C=Inf;
    ker=‘linear‘;
    global p1 p2
    p1=3;
    p2=1;
    
    %命令
    [nsv alpha bias] = svc(X,Y,ker,C)  %训练函数
    predictedY = svcoutput(X,Y,X,ker,alpha,bias)   %输入预测函数
    err = svcerror(trnX,trnY,tstX,tstY,ker,alpha,bias)  %分类函数，准确率
    svcplot(X,Y,ker,alpha,bias) %画图