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Multiview Clustering of Multilingual Documents

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.
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Submitted on : Tuesday, March 22, 2016 - 3:28:19 PM
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Young-Min Kim, Massih-Reza Amini, Cyril Goutte, Patrick Gallinari. Multiview Clustering of Multilingual Documents. The 33rd Annual ACM SIGIR Conference (SIGIR 2010), Jul 2010, Geneva, Switzerland. pp.812-822, ⟨10.1145/1835449.1835633⟩. ⟨hal-01292100⟩



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