multiclasscoding.m

这是我自己编的一个基于svm的多分类程序

%X=load('E:\吴治峄\数据\实验数据\调试SVM的简化data4(set1daq2).txt');
%x1=load('E:\吴治峄\数据\实验数据\调试SVM的简化data1(采集2).txt');
%X=load('E:\吴治峄\数据\实验数据\背景噪声1.txt');
X=load('E:\吴治峄\数据\实验数据\泄漏与干扰1.txt');
%X=load('E:\吴治峄\数据\实验数据\自编数据.txt');
%a=length(X1)/2;
%a=length(X1)/2;
X=reshape(X1,a,2);X=reshape(X1,a,2);
Y=sign(sin(X(:,1))+X(:,2));
[Yc, codebook, old_codebook] = code(Y,'code_MOC');
gam=10;
sig2=0.2;
[alpha,b] = trainlssvm({X,Yc,'classifier',gam,sig2});
%Yd = simlssvm({X,Yc,'classifier',gam,sig2},{alpha,b},X);
Yd = code(Yc,codebook,[],old_codebook,'codedist_hamming');
model = initlssvm(X,Y,'classifier',10,1);
model = changelssvm(model,'codetype','code_MOC');
model = trainlssvm(model);
plotlssvm(model);