DCSC Dynamic Classifier Selection Combiner
V = DCSC(A,W,K,TYPE)
This dynamic classifier selection takes for every object to be classified the K nearest neighbors of an evaluation set (training set) A and determines which classifier performs best over this set of objects. If the base classifiers (STACKED or PARALLEL) are untrained, A is used to train them as well.
The selection of the best classifier can be made in a soft or in a crisp way. If TYPE is 'soft' (default) classifier confidences are averaged (see CLASSC), otherwise the best classifier is selected by voting.
G. Giacinto and F. Roli, Methods for Dynamic Classifier Selection 10th Int. Conf. on Image Anal. and Proc., Venice, Italy (1999), 659-664.