English

Parameterized mixed cluster editing via modular decomposition

Data Structures and Algorithms 2015-06-03 v1

Abstract

In this paper we introduce a natural generalization of the well-known problems Cluster Editing and Bicluster Editing, whose parameterized versions have been intensively investigated in the recent literature. The generalized problem, called Mixed Cluster Editing or M{\cal M}-Cluster Editing, is formulated as follows. Let M{\cal M} be a family of graphs. Given a graph GG and a nonnegative integer kk, transform GG, through a sequence of at most kk edge editions, into a target graph GG' with the following property: GG' is a vertex-disjoint union of graphs G1,G2,G_1, G_2, \ldots such that every GiG_i is a member of M{\cal M}. The graph GG' is called a mixed cluster graph or M{\cal M}-cluster graph. Let K{\cal K} denote the family of complete graphs, KL{\cal KL} the family of complete ll-partite graphs (l2l \geq 2), and \L=KKL\L={\cal K} \cup {\cal KL}. In this work we focus on the case M=L{\cal M} = {\cal L}. Using modular decomposition techniques previously applied to Cluster/Bicluster Editing, we present a linear-time algorithm to construct a problem kernel for the parameterized version of L{\cal L}-Cluster Editing. Keywords: bicluster graphs, cluster graphs, edge edition problems, edge modification problems, fixed-parameter tractability, NP-complete problems.

Keywords

Cite

@article{arxiv.1506.00944,
  title  = {Parameterized mixed cluster editing via modular decomposition},
  author = {Maise Dantas da Silva and Fábio Protti and Jayme Luiz Szwarcfiter},
  journal= {arXiv preprint arXiv:1506.00944},
  year   = {2015}
}
R2 v1 2026-06-22T09:45:56.275Z