The k-means clustering technique: General considerations and implementation in Mathematica

Data clustering techniques are valuable tools for researchers working with large databases of multivariate data. In this tutorial, we present a simple yet powerful one: the k-means clustering technique, through three different algorithms: the Forgy/Lloyd, algorithm, the MacQueen algorithm and the Ha...

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Bibliographic Details

Published in:	Tutorials in quantitative methods for psychology Vol. 9; no. 1; pp. 15 - 24
Main Authors:	Morissette, Laurence, Chartier, Sylvain
Format:	Journal Article
Language:	English
Published:	Université d'Ottawa 01.02.2013
Subjects:	k-mean clustering Mathematica statistics
ISSN:	1913-4126, 1913-4126
Online Access:	Get full text
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