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).
Domaines
Méthodologie [stat.ME]Origine | Fichiers produits par l'(les) auteur(s) |
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