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Mixture models for cluster analysis: from model-based inference to bayesian non-parametrics

Faicel Chamroukhi 1 
1 LSIS - Laboratoire des Sciences de l'Information et des Systèmes
Résumé : no abstract
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Conference papers
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https://hal-amu.archives-ouvertes.fr/hal-01488383
Contributor : William Domingues Vinhas Connect in order to contact the contributor
Submitted on : Monday, March 13, 2017 - 3:48:50 PM
Last modification on : Friday, October 22, 2021 - 3:33:49 AM

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  • HAL Id : hal-01488383, version 1

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UNIV-TLN | CNRS | UNIV-AMU | LSIS | LIS-LAB | UNIV-HESAM | ARTS-ET-METIERS-SCIENCES-ET-TECHNOLOGIES

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Faicel Chamroukhi. Mixture models for cluster analysis: from model-based inference to bayesian non-parametrics. uLearnBio workshop of the International Conference on Machine Learning (ICML), 2014, Unknown, Région indéterminée. ⟨hal-01488383⟩

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