%MEDIANC Median combining classifier% % 	W = MEDIANC(V)% 	W = V*MEDIANC% % INPUT%    V     Set of classifiers%		% OUTPUT%    W     Median combining classifier on V%% DESCRIPTION% If V = [V1,V2,V3, ... ] is a set of classifiers trained on the same% classes, then W is the median combiner: it selects the class with% the median of the outputs of the input classifiers. This might also% be used as A*[V1,V2,V3]*MEDIANC, in which A is a dataset to be% classified.% % If it is desired to operate on posterior probabilities then the input % classifiers should be extended to output these, as V = V*CLASSC.% % SEE ALSO% MAPPINGS, DATASETS, VOTEC, MAXC, MINC, PRODC, MEANC, AVERAGEC, STACKED, % PARALLEL, FIXEDCC%% EXAMPLES% See PREX_COMBINING.% Copyright: R.P.W. Duin, duin@ph.tn.tudelft.nl% Faculty of Applied Sciences, Delft University of Technology% P.O. Box 5046, 2600 GA Delft, The Netherlands % $Id: medianc.m,v 1.7 2003/10/09 09:31:08 bob Exp $function w = medianc (p1)	prtrace (mfilename);	% The median combiner is constructed as a fixed combiner (FIXEDCC) of	% type 'median'.		type = 'median'; name = 'Median combiner';                        % Possible calls: MEDIANC, MEDIANC(W) or MEDIANC(A,W). 	        	if (nargin == 0)		w = mapping('fixedcc','combiner',{[],type,name});	else		w = fixedcc(p1,[],type,name);	end	if (isa(w,'mapping'))		w = setname(w,name);	endreturn