svm classification using features

hi... I want to classify normal and abnormal images using SVM classification...I have extracted the color layout descriptor as feature..F= {756, -12, 82, -142, 3, -45, 1104, -11, 189, 955, -13, -139} for one image.. now by using this i want to label as '0' or '1'.. how can i train these features,.. please help me with matlab codes...

Answer 1

[Shashank Prasanna]

The following documentation page has information on how to train and classify using SVM:

http://www.mathworks.com/help/bioinfo/ug/support-vector-machines-svm.html#bs3tbev-12