An Entropy criterion for assessing the number of clusters in a mixture model

Abstract : In this paper, we consider an entropy criterion to estimate the number of clusters arising from a mixture model. This criterion is derived from a relation linking the likelihood and the classification likelihood of a mixture. Its performances are investigated through Monte-Carlo numerical experiments and show favourable results as compared with other classical criteria.
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Rapport
RR-1874, INRIA. 1993
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https://hal.inria.fr/inria-00074799
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Dernière modification le : vendredi 16 septembre 2016 - 15:11:18
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Gilles Celeux, G. Soromenho. An Entropy criterion for assessing the number of clusters in a mixture model. RR-1874, INRIA. 1993. 〈inria-00074799〉

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