PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Multi-view Clustering of Multilingual Documents
Young-Min Kim, Massih Amini, Cyril Goutte and Patrick Gallinari
In: SIGIR 2010, 19t-23 July 2010, Geneva, Switzerland.

Abstract

We propose a new multi-view clustering method which uses clustering results obtained on each view as a voting pattern in order to construct a new set of multi-view clusters. Our experiments on a multilingual corpus of documents show that performance increases significantly over simple concatenation and another multi-view clustering technique.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Information Retrieval & Textual Information Access
ID Code:7047
Deposited By:Young-Min Kim
Deposited On:19 February 2011