MCLASSC

Computation of multi-class classifier from 2-class discriminants

   W = MCLASSC(A,CLASSF,MODE)
   W = A*MCLASSC([],CLASSF,MODE)
   W = A*MCLASSC(CLASSF,MODE)

Input
A	Dataset
CLASSF	Untrained classifier
MODE	Type of handling multi-class problems (optional; default: 'single')

Output
W	Combined classifier

Description

For default MODE = 'single', the untrained classifier CLASSF is called to  compute C classifiers between each of the C classes in the dataset A and  the remaining C-1 classes. The result is stored into the combined  classifier W.

For MODE = 'multi' the untrained classifier CLASSF is trained between all  pairs of classes as well as between each class and all other classes.  This total set of C classes is combined by MINC. The use of soft labels  is supported.

Example(s)

 W = MCLASSC(GENDATM(100),QDC,'MULTI');

See also

datasets, mappings, minc,