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Graph-based data clustering with overlaps

descriptionPublicationkeyboard_double_arrow_right Article , Part of book or chapter of book 01 Jan 2009 English Publisher:Elsevier BVJournal:Discrete Optimization, volume 8, pages 2-17 (issn: 1572-5286, Copyright policy )
Authors: Fellows, Michael R.; Guo, Jiong; Komusiewicz, Christian; Niedermeier, Rolf; Uhlmann, Johannes;

doi: 10.1016/j.disopt.2010.09.006 , 10.1007/978-3-642-02882-3_51

Graph-based data clustering with overlaps

Abstract

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Keywords

\(W[1]\)-hardness, Applied Mathematics, Forbidden subgraph characterization, Programming involving graphs or networks, W[1]-hardness, forbidden subgraph characterization, Theoretical Computer Science, cluster graph modification problems, Computational Theory and Mathematics, Fixed-parameter tractability, fixed-parameter tractability, kernelization, NP-hardness, Cluster graph modification problems, Kernelization, Abstract computational complexity for mathematical programming problems

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 59
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
59
Top 10%
Top 10%
Top 10%
hybrid