%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 (<a href="http://37steps.com/prtools">PRTools Guide</a>)
% MAPPINGS, DATASETS, VOTEC, 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 1.2 2006/03/08 22:06:58 duin 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 = prmapping('fixedcc','combiner',{[],type,name});
else
w = fixedcc(p1,[],type,name);
end
if (isa(w,'prmapping'))
w = setname(w,name);
end
return