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    Correlation clustering with vertex splitting

    Bentert, M. and Crane, A. and Drange, P.G. and Reidl, Felix and Sullivan, B.D. (2024) Correlation clustering with vertex splitting. Leibniz International Proceedings in Informatics (LIPIcs) 294 , 8:1-8:17. ISSN 1868-8969.

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    Abstract

    We explore CLUSTER EDITING and its generalization CORRELATION CLUSTERING with a new operation called permissive vertex splitting which addresses finding overlapping clusters in the face of uncertain information. We determine that both problems are NP-hard, yet they exhibit significant differences in terms of parameterized complexity and approximability. For CLUSTER EDITING WITH PERMISSIVE VERTEX SPLITTING, we show a polynomial kernel when parameterized by the solution size and develop a polynomial-time 7-approximation. In the case of CORRELATION CLUSTERING, we establish para-NP-hardness when parameterized by the solution size and demonstrate that computing an n^{1-ε}-approximation is NP-hard for any constant ε > 0. Additionally, we extend an established link between CORRELATION CLUSTERING and MULTICUT to the setting with permissive vertex splits.

    Metadata

    Item Type: Article
    Additional Information: 9th Scandinavian Symposium and Workshops on Algorithm Theory (SWAT 2024)
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
    Depositing User: Felix Reidl
    Date Deposited: 14 Jun 2024 05:20
    Last Modified: 14 Jun 2024 15:37
    URI: https://eprints.bbk.ac.uk/id/eprint/53689

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