The k-means clustering method shall partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean.
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README

NAME

    k-means clustering
    version 0.6.0
    author Brett L Kleinschmidt <blk@blk.me>

DESCRIPTION

    Partition n observations into k clusters in which each observation 
    belongs to the cluster with the nearest mean.

INSTALLATION

    To build type `make`

    usage:   kmeans [data] [centroids]
    example: kmeans data/data.csv data/cetroids.csv

COPYRIGHT

    Copyright (c) 2010-2011, Brett L. Kleinschmidt, All Rights Reserved.

    This program is free software; you can redistribute it and/or modify
    it under the terms of the GNU Lesser General Public License as published
    by the Free Software Foundation; either version 3 of the License, or
    (at your option) any later version.

    This program is distributed in the hope that it will be useful,
    but WITHOUT ANY WARRANTY; without even the implied warranty of
    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
    GNU General Public License for more details.

    For Support, please visit http://blk.me/