%AVERAGEC Combining of linear classifiers by averaging coefficients% % 	W = AVERAGEC(V)% 	W = V*AVERAGEC%% INPUT% 	V  A set of affine base classifiers.%% OUTPUT%  W  Combined classifier.%% DESCRIPTION% Let V = [V1,V2,V3, ... ] is a set of affine classifiers trained on the same % classes, then W is the average combiner: it averages the coefficients of the % base classifiers, resulting in a new affine classifier. This might also be % used as A*[V1,V2,V3]*AVERAGEC, in which A is a dataset to be classified.% % 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; ... ].%% SEE ALSO% MAPPINGS, DATASETS, MAJORC, MAXC, MINC, MEDIANC, PRODC, AVERAGEC, STACKED, % PARALLEL% % 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: averagec.m,v 1.7 2003/10/24 10:13:39 bob Exp $function w = averagec (p1)  % The average combiner is constructed as a fixed combiner (FIXEDCC) of  % type 'average'.	type = 'average'; name = 'Average combiner';  	% Possible calls: AVERAGEC, AVERAGEC(W) or AVERAGEC(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