Cluster deletion revisited

    Research output: Contribution to journalArticlepeer-review

    12 Scopus citations

    Abstract

    In the CLUSTER DELETION problem the input is a graph G and an integer k, and the goal is to decide whether there is a set of at most k edges whose removal from G results in a graph in which every connected component is a clique. In this paper we give an algorithm for CLUSTER DELETION whose running time is O(1.404k).

    Original languageEnglish
    Article number106171
    JournalInformation Processing Letters
    Volume173
    DOIs
    StatePublished - 1 Jan 2022

    Keywords

    • Branching algorithms
    • Graph algorithms
    • Parameterized complexity

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Signal Processing
    • Information Systems
    • Computer Science Applications

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