getclassifier

 GETCLASSIFIER yields the classifier from labeled data
   CC = getclassifier(d,c)
   CC = getclassifier(d1,d2)

 d     DATA
 c     CLASSLABEL 
 d1    DATA of class 1 
 d2    DATA of class 0
 Mode    'LDA' and 'MDA' implemented. 

 number of rows in d and c must fit, and C must be a column vector, 
 OR number of columns in d1 and d2 must fit. 
 The functions COVM.M and SUMSKIPNAN.M from the NaN-toolbox are 
 required [1] for Mode 'LDA' and 'MDA'.
 
 OUTPUT:
   CC     classifier
 
 see also: LDBC, LLBC, MDBC, NaN/COVM

 Reference(s):
 [1] A. Schloegl, Missing values and NaN-toolbox for Matlab, 2000-2003.
 http://pub.ist.ac.at/~schloegl/matlab/NaN/