%MEANC Mean combining classifier% %   W = MEANC(V)%   W = V*MEANC%% INPUT%   V    Set of classifiers (optional)%% OUTPUT%   W    Mean combiner%% DESCRIPTION% If V = [V1,V2,V3, ... ] is a set of classifiers trained on the same% classes and W is the mean combiner: it selects the class with the mean of% the outputs of the input classifiers. This might also be used as% A*[V1,V2,V3]*MEANC 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 like V = V*CLASSC;%% For affine mappings the coefficients may be averaged instead of the% classifier results by using AVERAGEC.% % The base classifiers may be combined in a stacked way (operating in the% same feature space by V = [V1,V2,V3, ... ] or in a parallel way% (operating in different feature spaces) by V = [V1;V2;V3; ... ]%% EXAMPLES% PREX_COMBINING%% SEE ALSO% MAPPINGS, DATASETS, VOTEC, MAXC, MINC, MEDIANC, PRODC,% AVERAGEC, STACKED, PARALLEL% 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: meanc.m,v 1.4 2003/10/09 09:32:19 bob Exp $function w = meanc(p1)	type = 'mean';               % define the operation processed by FIXEDCC.	name = 'Mean combiner';      % define the name of the combiner.	% this is the general procedure for all possible	% calls of fixed combiners handled by FIXEDCC	if nargin == 0		w = mapping('fixedcc','combiner',{[],type,name});	else		w = fixedcc(p1,[],type,name);	end	if isa(w,'mapping')		w = setname(w,name);	end	return