%FEATSELM Feature selection map% % 	W = featselm(A,crit,method,k,T)% % Computation of a mapping W selecting k features.% 	A		- dataset used for training% 	crit		- criterion, 'maha', 'NN', 'nerr', 'perr'% 			(see feateval) or an untrained classifier V.% 			default 'NN'% 	method		- 'forward' : selection by featself (default)% 			- 'float'   : selection by featselp% 			- 'backward': selection by featselb% 			- 'b&b'     : branch and bound selection by% 			              featselo% 			- 'ind'     : individual% 	k		- desired number of features.% 			  k=0 selects the optimal set (default).% 	T		- testset to be used in feateval.% % W can be used for selecting features by B*W% % See also mappings, datasets, feateval, featself, featselp, % featselb, featselo, featseli% Copyright: R.P.W. Duin, duin@ph.tn.tudelft.nl% Faculty of Applied Physics, Delft University of Technology% P.O. Box 5046, 2600 GA Delft, The Netherlandsfunction W = featselm(a,crit,method,k,t)if nargin < 2, crit = 'NN'; endif nargin < 3, method = 'forward'; endif nargin < 4, k = 0; endif nargin < 5, t = []; endif nargin == 0 | isempty(a)	W = mapping('featselm',{crit,method,k,t});	returnend[m,kk] = size(a);if strcmp(method,'forward')	W = featself(a,crit,k,t);elseif strcmp(method,'float')	W = featselp(a,crit,k,t);elseif strcmp(method,'backward')	W = featselb(a,crit,k,t);elseif strcmp(method,'b&b')	W = featselo(a,crit,k,t);elseif strcmp(method,'ind')	W = featseli(a,crit,k,t);else	error('Method unknown')endreturn