PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

An extension of PLSA for document clustering
Young-Min Kim, Jean-François Pessiot, Massih Amini and Patrick Gallinari
In: CIKM 2008(2008).

Abstract

In this paper we propose an extension of the PLSA model in which an extra latent variable allows the model to co-cluster documents and terms simultaneously. We show on three datasets that our extended model produces statistically significant improvements with respect to two clustering measures over the original PLSA and the multinomial mixture MM models

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
Information Retrieval & Textual Information Access
ID Code:5058
Deposited By:Patrick Gallinari
Deposited On:24 March 2009