一个关于adaboost算法的matlab程序

				function [C,R]=clustknb_new_w(XData, k, Weights, disp, mus) 				%[C,R,real_k,it]=clustknb_new(XData, k, Weights, mus=random_data_subset)				%				% 'online version' of the k-means-nearest-neighbourhood algorithm				% 				% [C,R,real_k,it]=clustknb_new(XData, k, Weights)				%				% Input				%		XData		: Input data 				%		k		: number of centres				%               Weights         : Sample Weights				%		mus		: [opt] initialization of the centers				%				% Output				%		C : Matrix with bf-centres (Indim-by-m: [c_1 c_2 ... c_m]) 				%		R : bf-width								%   G. Raetsch 1.6.98
				%   Copyright (c) 1998  GMD Berlin - All rights reserved
				%   THIS IS UNPUBLISHED PROPRIETARY SOURCE CODE of GMD FIRST Berlin
				%   The copyright notice above does not evidence any
				%   actual or intended publication of this work.
				%   Please see COPYRIGHT.txt for details.								error('compile clustknb_new_w.c') ;