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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Université d'Ottawa
2013-02-01
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| Series: | Tutorials in Quantitative Methods for Psychology |
| Subjects: | |
| Online Access: | http://www.tqmp.org/Content/vol09-1/p015/p015.pdf |