• DocumentCode
    2977828
  • Title

    An Algorithm for Partitioning a Tree Into Sibling Subtree Clusters Weighted in a Given Range

  • Author

    Hao Chen ; Guangcun Luo ; Ke Qin ; Ningduo Peng ; Wen Hao

  • Author_Institution
    Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2012
  • fDate
    14-16 Dec. 2012
  • Firstpage
    499
  • Lastpage
    502
  • Abstract
    Assume that each vertex of an arbitrary n-vertex tree T is assigned a nonnegative integer weight. This paper considers partitioning the vertices of tree T into p disjoint clusters such that the total weight of each cluster is at least l and at most u, where l and u are given integers with l<;u. Such a partition can be called an [l, u]partition. Whereas traditional [l, u]partition algorithms for trees only allow that a cluster corresponds to a subtree, our algorithm also considers clusters containing several subtrees as long as these subtrees have the same parent node or their root vertices are adjacent siblings. We call this [l, u]sibling partitioning. We deal with two problems of [l, u]sibling partitioning for a given tree: the minimal partition problem is to find an [l, u]sibling partitioning with the minimum number of clusters; the p-partition problem is to find an [l, u]sibling partitioning with a given number p of clusters. In this paper, we present the first polynomial-time algorithm to solve the two problems.
  • Keywords
    data handling; pattern clustering; polynomials; adjacent siblings; arbitrary n-vertex tree; nonnegative integer weight; polynomial time algorithm; root vertices; sibling subtree clusters; tree partitioning algorithm; Approximation algorithms; Clustering algorithms; Computational modeling; Fitting; Partitioning algorithms; Processor scheduling; TV; Distributed Computing; Dynamic Programming; Sibling Subtrees; Tree partition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Computing, Applications and Technologies (PDCAT), 2012 13th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-4879-1
  • Type

    conf

  • DOI
    10.1109/PDCAT.2012.38
  • Filename
    6589327