Matlab中的支持向量机 [英] support vector machines in matlab

问题描述

您能否举一个使用matlab中的支持向量机(SVM)进行4类分类的示例:

Could you give an example of classification of 4 classes using Support Vector Machines (SVM) in matlab something like:

atribute_1  atribute_2 atribute_3 atribute_4 class
1           2          3           4             0
1           2          3           5             0
0           2          6           4             1
0           3          3           8             1
7           2          6           4             2
9           1          7           10            3

推荐答案

MATLAB目前不支持多类SVM.您可以使用 svmtrain (两类)来实现这样，但是使用标准的SVM软件包会容易得多.

MATLAB does not support multiclass SVM at the moment. You could use svmtrain (2-classes) to achieve this, but it would be much easier to use a standard SVM package.

我使用了 LIBSVM 和可以确认它非常易于使用.

I have used LIBSVM and can confirm that it's very easy to use.

%%# Your data
D = [
1           2          3           4             0
1           2          3           5             0
0           2          6           4             1
0           3          3           8             1
7           2          6           4             2
9           1          7           10            3];
%%# For clarity
Attributes = D(:,1:4);
Classes = D(:,5);
train = [1 3 5 6];
test = [2 4];

%%# Train
model = svmtrain(Classes(train),Attributes(train,:),'-s 0 -t 2');

%%# Test
[predict_label, accuracy, prob_estimates] = svmpredict(Classes(test), Attributes(test,:), model);

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