Introduction - If you have any usage issues, please Google them yourself
VC Support Vector Classification
Usage: [nsv alpha bias] = svc(X,Y,ker,C)
Parameters: X - Training inputs
Y - Training targets
ker - kernel function
C - upper bound (non-separable case)
nsv - number of support vectors
alpha - Lagrange Multipliers
b0 - bias term