| PRTools contents |
TRAINCC
W = TRAINCC(A,W,CCLASSF)
| Input | |
| A | Training dataset |
| W | A set of classifiers to be combined |
| CCLASSF | Combining classifier |
| Output | |
| B | Combined classifier mapping |
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.
datasets, mappings, stacked, parallel, baggingc, boostingc,
| PRTools contents |