Presentation 2004-10-14
Approximation algorithms for the bipartite dense subgraph problem
Akiko SUZUKI, Takeshi TOKUYAMA,
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Abstract(in English) We consider the (weighted) bipartite dense subgraph problem that extracts a dense subgraph of a given (weighted) bipartite graph. We give approximation algorithms with theoretical error bounds even if the output subgraph is of small size provided that it is dense: This is significantly different from known results on the non-bipartite problem. We also discuss its application to dimension-reducing clustering in data mining applications.
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Keyword(in English) Approximation Algorithm / Clustering / Dense subgraph
Paper # COMP2004-37
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Conference Information
Committee COMP
Conference Date 2004/10/7(1days)
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Registration To Theoretical Foundations of Computing (COMP)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Approximation algorithms for the bipartite dense subgraph problem
Sub Title (in English)
Keyword(1) Approximation Algorithm
Keyword(2) Clustering
Keyword(3) Dense subgraph
1st Author's Name Akiko SUZUKI
1st Author's Affiliation GSIS Tohoku University()
2nd Author's Name Takeshi TOKUYAMA
2nd Author's Affiliation GSIS Tohoku University
Date 2004-10-14
Paper # COMP2004-37
Volume (vol) vol.104
Number (no) 338
Page pp.pp.-
#Pages 8
Date of Issue