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Pitfalls in Mixtures from the Clustering Angle

Christophe Biernacki 1, 2 Gwenaelle Castellan 2 Stephane Chretien 3 Benjamin Guedj 1 Vincent Vandewalle 1, 4
1 MODAL - MOdel for Data Analysis and Learning
Inria Lille - Nord Europe, LPP - Laboratoire Paul Painlevé - UMR 8524, METRICS - Evaluation des technologies de santé et des pratiques médicales - ULR 2694, Polytech Lille - École polytechnique universitaire de Lille, Université de Lille, Sciences et Technologies
Abstract : Slides of this talk are both a review and a prospective work about degeneracy, label switching and spurious in a model-based clustering context. Originality is to deal with these topics from a dynamical point of view on the EM algorithm, and other related algorithms.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01419755
Contributor : Christophe Biernacki <>
Submitted on : Wednesday, December 21, 2016 - 5:40:10 PM
Last modification on : Friday, November 27, 2020 - 2:18:02 PM

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  • HAL Id : hal-01419755, version 1

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Christophe Biernacki, Gwenaelle Castellan, Stephane Chretien, Benjamin Guedj, Vincent Vandewalle. Pitfalls in Mixtures from the Clustering Angle. Working Group on Model-Based Clustering Summer Session, Jul 2016, Paris, France. ⟨hal-01419755⟩

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