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Communication Dans Un Congrès Année : 2016

Unifying Data Units and Models in Statistics: Focus on (Co-)Clustering

Résumé

In this talk, we highlight that it is possible to embed data unit selection into a classical model selection principle. We introduce the problem in a regression context before to focus on the model-based clustering and co-clustering context, for data of different kinds (continuous, categorical).
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hal-01420657 , version 1 (22-12-2016)

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  • HAL Id : hal-01420657 , version 1

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Christophe Biernacki, Alexandre Lourme. Unifying Data Units and Models in Statistics: Focus on (Co-)Clustering. Workshop on Model-based Clustering and Classification (MBC2), Sep 2016, Catania, Italy. ⟨hal-01420657⟩
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