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Non-parametric clustering over user features and latent behavioral functions with dual-view mixture models

Lumbreras, Alberto and Velcin, Julien and Guégan, Marie and Jouve, Bertrand Non-parametric clustering over user features and latent behavioral functions with dual-view mixture models. (2017) Computational statistics, 32 (1). 145-177. ISSN 0943-4062

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Official URL: https://doi.org/10.1007/s00180-016-0668-0

Abstract

We present a dual-view mixture model to cluster users based on their features and latent behavioral functions. Every component of the mixture model represents a probability density over a feature view for observed user attributes and a behavior view for latent behavioral functions that are indirectly observed through user actions or behaviors. Our task is to infer the groups of users as well as their latent behavioral functions. We also propose a non-parametric version based on a Dirichlet Process to automatically infer the number of clusters. We test the properties and performance of the model on a synthetic dataset that represents the participation of users in the threads of an online forum. Experiments show that dual-view models outperform single-view ones when one of the views lacks information.

Item Type:Article
Additional Information:Thanks to Springer editor. The original PDF can be found at Computational statistics (ISSN 0943-4062) website : https://link.springer.com/article/10.1007/s00180-016-0668-0
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Technicolor (FRANCE)
Other partners > Université Lumière-Lyon 2 (FRANCE)
Laboratory name:
Statistics:download
Deposited By: IRIT IRIT
Deposited On:12 Feb 2018 13:11

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