Cluster deletion revisited

Dekel Tsur

doi:10.1016/j.ipl.2021.106171

Cluster deletion revisited

Dekel Tsur

Department of Computer Science

Research output: Contribution to journal › Article › peer-review

7 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^⁎(1.404^k).

Original language	English
Article number	106171
Journal	Information Processing Letters
Volume	173
DOIs	https://doi.org/10.1016/j.ipl.2021.106171
State	Published - 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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10.1016/j.ipl.2021.106171

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title = "Cluster deletion revisited",

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).",

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author = "Dekel Tsur",

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year = "2022",

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AB - 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).

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KW - Parameterized complexity

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JO - Information Processing Letters

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Cluster deletion revisited

Abstract

Keywords

ASJC Scopus subject areas

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