Train combining classifier if needed
W = TRAINCC(A,W,CCLASSF)
The combining classifier CCLASSF is trained by the dataset A*W, if training is needed. W is typically a set of stacked (operating in the same feature space) or parallel (operating in different feature spaces; performed one after another) classifiers to be combined. E.g. if V1, V2 and V3 are base classifiers, then V = [V1,V2,V3,...] is a stacked classifier and V = [V1;V2;V3;...] is a parallel one. If CCLASSF is one of the fixed combining rules like MAXC, then training is skipped.
This routine is typically called by combining classifier schemes like BAGGINGC and BOOSTINGC.