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PRTools User Guide

rsscc

RSSCC

Trainable random subspace combining classifier

     W = RSSCC(A,CLASSF,NFEAT,NCLASSF)
     W = A*RSSCC([],CLASSF,NFEAT,NCLASSF)
     W = A*RSSCC(CLASSF,NFEAT,NCLASSF)

Input
 A Dataset
 CLASSF Untrained base classifier. default NMC
 NFEAT Number of features for training CLASSF
 NCLASSF Number of base classifiers

Output
 W Combined classifer

Description

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.

See also

datasets, mappings, parallel, votec, nmc, qdc,

PRTools Contents

PRTools User Guide

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