The multi-parameterized cluster editing problem

Faisal Abu Khzam

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedingspeer-review


The Cluster Editing problem seeks a transformation of a given undirected graph into a transitive graph via a minimum number of edge-edit operations. Existing algorithms often exhibit slow performance and could deliver clusters of no practical significance, such as singletons. A constrained version of Cluster Editing is introduced, featuring more input parameters that set a lower bound on the size of a clique-cluster as well as upper bounds on the amount of both edge-additions and deletions per vertex. The new formulation allows us to solve Cluster Editing (exactly) in polynomial time when edge-edit operations per vertex is smaller than half the minimum cluster size. Moreover, we address the case where the new edge addition and deletion bounds (per vertex) are small constants. We show that Cluster Editing has a linear-size kernel in this case.
Original languageEnglish
Title of host publicationCombinatorial Optimization and Applications
EditorsPeter Widmayer, Xu Yinfeng, Zhu Binhai
Place of PublicationSwitzerland
Number of pages11
ISBN (Electronic)978-3-319-03780-6
ISBN (Print)978-3-319-03779-0
Publication statusPublished - 2013
Externally publishedYes
EventConference on Combinatorial Optimization and Applications (COCOA 2013 7th) - Chengdu; China, Chengdu, China
Duration: 1 Jan 2013 → …
Conference number: 2013 (7th)

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743


ConferenceConference on Combinatorial Optimization and Applications (COCOA 2013 7th)
Abbreviated titleCOCOA
Period1/01/13 → …


Dive into the research topics of 'The multi-parameterized cluster editing problem'. Together they form a unique fingerprint.

Cite this