WEAKC

Weak Classifier

    [W,V] = WEAKC(A,ALF,ITER,CLASSF)
    VC = WEAKC(A,ALF,ITER,R,1)

Input
A	Dataset
ALF	Fraction or number of objects to be used for training, see
GENDAT.	Default: one object per class.
ITER	Number of trials
CLASSF	untrained classifier, default NMC

Output
W	Best classifier over ITER runs
V	Cell array of all classifiers  Use VC = stacked(V) for combining
VC	Combined set of classifiers

  WEAKC uses subsampled versions of A for training. Testing is done  on the entire training set A. The best classifier is returned in W.

See also

mappings, datasets, nmc, gendat,