A study of graph-based system for multi-view clustering

• Published in: Knowledge-based systems Vol. 163; pp. 1009 - 1019
• Main Authors: Wang, Hao, Yang, Yan, Liu, Bing, Fujita, Hamido
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.01.2019; Elsevier Science Ltd
• Subjects: Clustering; Data fusion; Feature extraction; Graph theory; Graph-based technology; Knowledge; Laplacian matrix; Matrix; Multi-view clustering; Rank constraint; State of the art; Weight; Graph-based technology; Data fusion; Multi-view clustering; Laplacian matrix; Rank constraint

This paper studies clustering of multi-view data, known as multi-view clustering. Among existing multi-view clustering methods, one representative category of methods is the graph-based approach. Despite its elegant and simple formulation, the graph-based approach has not been studied in terms of (a...