DocumentCode :
245777
Title :
Clustered Trees with Minimum Inter-cluster Distance
Author :
Bang Ye Wu ; Chen-Wan Lin
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Chung-Cheng Univ., Chiayi, Taiwan
fYear :
2014
fDate :
19-21 Dec. 2014
Firstpage :
1138
Lastpage :
1141
Abstract :
For a given edge-weighted graph G = (V, E, w), in which the vertices are partitioned into clusters R = {R1, R2, ... , Rk}, a spanning tree of G is a clustered spanning tree if the subtrees spanning the clusters are mutually disjoint. In this paper we study the problem of constructing a clustered spanning tree such that the total distance summed over all vertices of different clusters is minimized. We show that the problem is polynomial-time solvable when the number of clusters k is 2 and NP-hard for k = 3. We also present a 2-approximation algorithm for the case of 3 clusters.
Keywords :
approximation theory; computational complexity; trees (mathematics); 2-approximation algorithm; NP-hard problem; clustered spanning tree; clustered trees; edge-weighted graph; minimum intercluster distance; polynomial-time solvable problem; Approximation algorithms; Approximation methods; Clustering algorithms; Computer science; Polynomials; Routing; Time complexity; NP-hard; approximation algorithm; graph algorithm; spanning tree;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Science and Engineering (CSE), 2014 IEEE 17th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-7980-6
Type :
conf
DOI :
10.1109/CSE.2014.223
Filename :
7023733
Link To Document :
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