Skip to Main content Skip to Navigation
Reports

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.
Document type :
Reports
Complete list of metadata

https://hal.inria.fr/inria-00074799
Contributor : Rapport de Recherche Inria <>
Submitted on : Wednesday, May 24, 2006 - 4:26:51 PM
Last modification on : Thursday, February 11, 2021 - 2:50:06 PM
Long-term archiving on: : Tuesday, April 12, 2011 - 7:24:24 PM

Identifiers

  • HAL Id : inria-00074799, version 1

Collections

Citation

Gilles Celeux, G. Soromenho. An Entropy criterion for assessing the number of clusters in a mixture model. RR-1874, INRIA. 1993. ⟨inria-00074799⟩

Share

Metrics

Record views

416

Files downloads

3891