USERKERNEL

Construct user defined kernel mapping

   K = USERKERNEL(B,R,FUNC,P1,P2, ...)
   K = B*USERKERNEL([],R,FUNC,P1,P2, ...)
   W = USERKERNEL([],R,FUNC,P1,P2, ...)
   W = R*USERKERNEL([],[],FUNC,P1,P2, ...)
   K = B*W

Input
R	Dataset, representation set, default B
B	Dataset
FUNC	String with function name to compute kernels (proximities) by
K	= FEVAL(FUNC,B,R,P1,P2, ...)

Output
W	Trained kernel mapping
K	Kernel (proximity) matrix

Description

The kernel matrix K is computed according to the definition given by the  user supplied function FUNC. The size of K is [SIZE(B,1) SIZE(R,1)]