selectsam.m

标准svm3.0程序 内有mex优化程序

clear all
close all
load data\car.txt;
load trainN;
load testN;
load sam1;
value1=car(:,13);
standdata=car(:,2:12);
for i=1:11
    maxd=max(standdata(:,i));
    mind=min(standdata(:,i));
    standdata(:,i)=(standdata(:,i)-mind)/(maxd-mind);
end
%n=[5 2 7 3];
n=[1 3 4 8 10 11];
Samples1=standdata(trainN1,n);
Labels=value1(trainN1,:);
testS1=standdata(testN1,n);
testL=value1(testN1,:);
[AlphaY1, SVs1, Bias1, Parameters1, nSV1, nLabel1] =LinearSVC(Samples1', Labels',inf);%,Degree, C, Gamma, Coeff);
[ClassRate1, DecisionValue1, Ns1, ConfMatrix1, PreLabels1]= SVMTest(testS1',testL', AlphaY1, SVs1, Bias1,Parameters1, nSV1, nLabel1);
ClassRate1