Cluster Deletion Revisited

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


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
Pages (from-to)1-9
Number of pages9
JournalInformation Processing Letters
StatePublished - Jan 2022


  • Branching algorithms
  • Graph algorithms
  • Parameterized complexity

ASJC Scopus subject areas

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


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