MEANC Mean combining classifier
W = MEANC(V)
DescriptionIf V = [V1,V2,V3, ... ] is a set of classifiers trained on the same classes and W is the mean combiner: it selects the class with the mean of the outputs of the input classifiers. This might also be used as A*[V1,V2,V3]*MEANC in which A is a dataset to be classified. If it is desired to operate on posterior probabilities then the input classifiers should be extended like V = V*CLASSC; For affine mappings the coefficients may be averaged instead of the classifier results by using AVERAGEC. The base classifiers may be combined in a stacked way (operating in the same feature space by V = [V1,V2,V3, ... ] or in a parallel way (operating in different feature spaces) by V = [V1;V2;V3; ... ] Example(s)
PREX_COMBINING
See alsomappings, datasets, votec, maxc, minc, medianc, prodc, averagec, stacked, parallel,
