Multiview clustering: a late fusion approach using latent models

Authors:
Eric Bruno;Stephane Marchand-Maillet
Affiliations:
University of Geneva, Geneva, Switzerland;University of Geneva, Geneva, Switzerland
Venue:
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Year:
2009

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Abstract

Multi-view clustering is an important problem in information retrieval due to the abundance of data offering many perspectives and generating multi-view representations. We investigate in this short note a late fusion approach for multi-view clustering based on the latent modeling of cluster-cluster relationships. We derive a probabilistic multi-view clustering model outperforming an early-fusion approach based on multi-view feature correlation analysis.