Bipartite Edge Correlation Clustering: Finding an Edge Biclique Partition from a Bipartite Graph with Minimum Disagreement

Mikio Mizukami; Kouich Hirata; Tetsuji Kuboyama

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Paper

Bipartite Edge Correlation Clustering: Finding an Edge Biclique Partition from a Bipartite Graph with Minimum Disagreement

Topics: Classification and Clustering; Data Mining and Algorithms for Big Data

In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods ICPRAM - Volume 1, 699-706, 2019 , Prague, Czech Republic

Authors: Mikio Mizukami ¹ ; Kouich Hirata ¹ and Tetsuji Kuboyama ²

Affiliations: ¹ Kyushu Institute of Technology, Kawazu 680-4, Iizuka 820-8502 and Japan ; ² Gakushuin University, Mejiro 1-5-1, Toshima, Tokyo 171-8588 and Japan

Keyword(s): Bipartite Edge Correlation Clustering, Edge Biclique Partition, Minimum Disagreement, Bipartite Correlation Clustering, Bicluster Graph Editing, Biclustering.

Abstract: In this paper, first we formulate the problem of a bipartite edge correlation clustering which finds an edge biclique partition with the minimum disagreement from a bipartite graph, by extending the bipartite correlation clustering which finds a biclique partition. Then, we design a simple randomized algorithm for bipartite edge correlation clustering, based on the randomized algorithm of bipartite correlation clustering. Finally, we give experimental results to evaluate the algorithms from both artificial data and real data.

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Paper citation in several formats:

Mizukami, M.; Hirata, K. and Kuboyama, T. (2019). Bipartite Edge Correlation Clustering: Finding an Edge Biclique Partition from a Bipartite Graph with Minimum Disagreement. In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-351-3; ISSN 2184-4313, SciTePress, pages 699-706. DOI: 10.5220/0007471506990706

@conference{icpram19,
author={Mikio Mizukami. and Kouich Hirata. and Tetsuji Kuboyama.},
title={Bipartite Edge Correlation Clustering: Finding an Edge Biclique Partition from a Bipartite Graph with Minimum Disagreement},
booktitle={Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2019},
pages={699-706},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007471506990706},
isbn={978-989-758-351-3},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Bipartite Edge Correlation Clustering: Finding an Edge Biclique Partition from a Bipartite Graph with Minimum Disagreement
SN - 978-989-758-351-3
IS - 2184-4313
AU - Mizukami, M.
AU - Hirata, K.
AU - Kuboyama, T.
PY - 2019
SP - 699
EP - 706
DO - 10.5220/0007471506990706
PB - SciTePress