How to classify using non-linear support vector machine

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B mohan
B mohan 2012 年 3 月 27 日
By using svmtrain() function and svmclassify() I got the results for linear svm. But for non-linear support vector machine I cannot get the output.
How to classify using non-linear kernels like RBF, Quadratic and polynamial kernels. Please explain how to use parameters.
svmStruct = svmtrain(data(train,:),groups(train),'rbf', 1, 'showplot',true); Warning: You specified radial basis function parameters but not a radial basis function kernel.

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回答 (1 件)

Ilya
Ilya 2012 年 3 月 27 日
svmStruct = svmtrain(data(train,:),groups(train),'kernel_function','rbf')

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