Work

Multiview clustering

Year: 2009

Type: conference-paper

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.

Source: International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI: 10.1145/1571941.1572103

Authors: Eric Bruno, Stephane Marchand-Maillet

Institution: University of Geneva

Language: English

Topic: Advanced Clustering Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W1991311318

FWCI: 1.745

Cites: 9

Cited by: 87

Related to: 10