Title
On the hardness of labeled correlation clustering problem: A parameterized complexity view.
Abstract
Motivated by practical applications, the Labeled Correlation Clustering problem, a variant of Correlation Clustering problem, is formally defined and studied in this paper. Since the problem is NP-complete, we consider the parameterized complexities. Three different parameterizations are considered, and the corresponding parameterized complexities are studied. For the two parameterized problems which are fixed-parameter-tractable, the lower bounds of them are analyzed under SETH (Strong Exponential Time Hypothesis).
Year
DOI
Venue
2016
10.1016/j.tcs.2015.03.021
Theoretical Computer Science
Keywords
Field
DocType
Labeled correlation clustering,Parameterized complexity,Lower bound,Strong Exponential Time Hypothesis
Discrete mathematics,Combinatorics,Parameterized complexity,Correlation clustering,Upper and lower bounds,Mathematics,Exponential time hypothesis
Journal
Volume
Issue
ISSN
609
P3
0304-3975
Citations 
PageRank 
References 
0
0.34
18
Authors
3
Name
Order
Citations
PageRank
Xianmin Liu1125.00
Jianzhong Li23196304.46
Hong Gao31086120.07