PKLIBSVC

Automatic radial basis SVM, using nu_libsvc and the Parzen kernel

    W = PKLIBSVC(A,ALF)

Input
A	Dataset
ALF	Parameter, default 1

Output
W	Mapping: radial basis support vector classiifer

Description

This routine provides a radial basis support vector classifier based on  NULIBSVC (which estimates NU using the leave-one-out 1NN error) and  estimates the kernel width SIGMA by the the value found by PARZENC. The  kernel width used is ALF*3*SQRT(2)*SIGMA. This is much faster than the  gridsearch used by RBLIBSVC and performs about equal.

See also

datasets, mappings, libsvc, nulibsvc, rblibsvc, parzenc,