?? medianc.m
字號(hào):
%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
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