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