CLEANDSET

Clean dataset for small class size behavior of classifiers

     [B,M,K,C,LABLIST,L,W] = CLEANDSET(A,N,U)

Input
A	Dataset
N	Minimum desired class size, default 1
U	Untrained fallback classifier, default ONEC

Output
B	Dataset with small and empty classes removed
M	Number of objects in B
K	Feature size of B
C	Number of classes in B
LABLIST	Label list of A
L	Classes of A still availiable in B
W	Trained fallback classifier

Description

This routine serves three purposes

• It summarises a number of statements in the training parts of a  classifier in orer to make the source more readable.
• Removal of small classes.
• In case B does not contain at least two classes of the desired sample  size, the fallback classifier U is trained by A and returned in W.

This routine takes facilitates the handlin of imcomplete training sets,  together with the support routines ONEC, ALLCLASS and, CLASSUSE.

See also

datasets, mappings, onec, allclass, classuse,