How can I train SVM in Matlab, with more than 2 classes?

Hi;

I was trying to use fitcsvm to train and classify my data. However, I notice - correct me if I'm wrong - that fitcsvm could only be used with 2 classes (groups).

My data have more than 2 classes. Is there away to do classify them in matlab?

I did some googling and I read that some recommend to use fitcecoc , while others recommend to use out of the box code multisvm

Morover, other recommend to use discriminant analysis

Please, advise on best approach to go.

Thanking you.

[Image Analyst]

Do you always know how many classes there will be? If so, why not try kmeans?

Answer 1

[Ilya]

multisvm appears to be built on top of the older, slower svmtrain function, while fitcecoc uses the newer, faster C++ implementation. fitcecoc offers more options and gets MathWorks tech support.