RBSVC

Automatic radial basis Support Vector Classifier

    [W,KERNEL,NU] = RBSVC(A)

Input
A	Dataset

Output
W	Mapping: Radial Basis Support Vector Classifier
KERNEL	Untrained mapping, representing the optimised kernel
NU	Resulting value for NU from NUSVC

Description

This routine computes a classifier by NUSVC using a radial basis kernel  with an optimised standard deviation by REGOPTC. The resulting classifier  W is identical to NUSVC(A,KERNEL,NU). As the kernel optimisation is based  on internal cross-validation the dataset A should be sufficiently large.  Moreover it is very time-consuming as the kernel optimisation needs  about 100 calls to SVC.

See also

mappings, datasets, proxm, svc, nusvc, regoptc,