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Estimating the number of data clusters via the contrast statistic

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DOI: 10.4236/jbise.2012.52012    4,680 Downloads   8,037 Views   Citations


A new method (the Contrast statistic) for estimating the number of clusters in a set of data is proposed. The technique uses the output of self-organising map clustering algorithm, comparing the change in dependency of “Contrast” value upon clusters number to that expected under a uniform distribution. A simulation study shows that the Contrast statistic can be used successfully either, when variables describing the object in a multi-dimensional space are independent (ideal objects) or dependent (real biological objects).

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The authors declare no conflicts of interest.

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Lyakh, Y. , Gurianov, V. , Gorshkov, O. and Vihovanets, Y. (2012) Estimating the number of data clusters via the contrast statistic. Journal of Biomedical Science and Engineering, 5, 95-99. doi: 10.4236/jbise.2012.52012.


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