PRKMEANS

PRTools k-means clustering

    [LABELS,B] = PRKMEANS(A,K,MAXIT,INIT)

Input
A	Matrix or 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)

Output
LABELS	Cluster assignments, 1..K
B	Dataset with original data and labels LABELS:
B	= PRDATASET(A,LABELS)

Description

K-means clustering of data vectors in A. Iterations may be stopped before  stability is reached due to the setting of PRTIME.

Faster and more advanced tools for cluster analysis may be found in the  ClusterTools toolbox.

See also

datasets, hclust, kcentres, modeseek, emclust, prtime,