Trainable random subspace combining classifier
W = RSSCC(A,CLASSF,NFEAT,NCLASSF)
This procedure computes a combined classifier consisting out of NCLASSF base classifiers, each trained by a random set of NFEAT features of A. W is just the set of base classifiers and still needs a combiner, e.g. use W*VOTEC. PRTools uses by default MAXC. A trained combiner might be considered as well, e.g. W = A*(RSSCC*QDC(,,1e-6))
The default subspace dimension (NFEAT) is 10% of the size of the training set A with a minimum of 2. The default number of classifiers is the dimension of the training set divided by the subspace dimension with a minimum of 10.