Multiview Clustering of Multilingual Documents

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Proceedings titleProceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Conference33rd Annual Association for Computing Machinery’s Special Interest Group on Information Retrieval Conference (ACM SIGIR), July 19-23, 2010, Geneva, Switzerland
Pages821822; # of pages: 2
SubjectMultilingual document clustering; Multi-view learning; PLSA
AbstractWe 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.
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AffiliationNational Research Council Canada (NRC-CNRC); NRC Institute for Information Technology
Peer reviewedYes
NPARC number15469834
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Record identifiera320a282-c996-4445-bf05-2798c50b5718
Record created2010-06-10
Record modified2016-05-09
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