How can I train SVM in Matlab, with more than 2 classes?
3 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
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
Please, advise on best approach to go.
Thanking you.
1 commentaire
Image Analyst
le 29 Juin 2015
Do you always know how many classes there will be? If so, why not try kmeans?
Réponse acceptée
Ilya
le 1 Juil 2015
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.
0 commentaires
Plus de réponses (0)
Voir également
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!