• 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