Quality check of multiple discriminator classifier
It can be used to optimize the LDA-based classifier
[Q,D]=qcmahal(XC);
Q sum of total distance Q=sum(D(:))
D Distance matrix (mahalanobis distance of mean to each other)
D(k,l) gives the distance of the k-th mean to the class 'l'
[Q,D,R,COV]=qcmahal(XC);
optimization to reduce the number of classes
Q is list of distances.
R is a list how the classes should be summarized
COV gives the suggested class definition
Copyright (c) 1999-2002 by Alois Schloegl
a.schloegl@ieee.org
28.02.2001 Version 1.13
10.10.2001 Version 1.14
30.12.2002 Version 1.15