%KMEANS PRTools k-means clustering, deprecated
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% [LABELS,B] = KMEANS(A,K,MAXIT,INIT)
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% INPUT
% A Dataset
% K Number of clusters to be found (optional; default: 2)
% MAXIT maximum number of iterations (optional; default: 50)
% INIT Labels for initialisation, or
% 'rand' : take at random K objects as initial means, or
% 'kcentres' : use KCENTRES for initialisation (default)
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% OUTPUT
% LABELS Cluster assignments, 1..K
% B Dataset with original data and labels LABELS:
% B = PRDATASET(A,LABELS)
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% DESCRIPTION
% K-means clustering of data vectors in A. This routine calls PRKMEANS
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% SEE ALSO (<a href="http://37steps.com/prtools">PRTools Guide</a>)
% DATASETS, PRKMEANS, HCLUST, KCENTRES, MODESEEK, EMCLUST, PRPROGRESS