Description: 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
- [svc] - support vector classification
File list (Check if you may need any files):
titanium.mat
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