Quasi-biclique edge concentration: A visual analytics method for biclustering

Biclustering is a well-known approach for data mining, and it is applied in many fields, such as genome analyses, security services, and social network analyses. Biclustering finds bicliques contained in a bipartite graph. However, in real data, a biclique may lack several edges because of various r...

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Bibliographic Details

Published in:	IEEE Pacific Visualization Symposium pp. 215 - 219
Main Authors:	Onoue, Yosuke, Koyamada, Koji
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.04.2017
Subjects:	Algorithm design and analysis Bipartite graph Data mining G.2.2 [Discrete Mathematics]: Graph Theory- Graph Algorithms H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval-Clustering Redundancy Uncertainty Visual analytics
ISSN:	2165-8773
Online Access:	Get full text
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