Clustered Trees with Minimum Inter-cluster Distance

B. Wu, Chen-Wan Lin
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引用次数: 4

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.
簇间距离最小的聚类树
对于给定的边权图G = (V, E, w),其中的顶点被划分为簇R = {R1, R2,…, Rk},如果生成簇的子树互不相交,则G的生成树是聚类生成树。本文研究了一种聚类生成树的构造问题,使得不同聚类的所有顶点的总距离之和最小。我们证明了当簇数k为2时,当k = 3时,问题是多项式时间可解的。对于3个聚类的情况,我们也给出了一个2逼近算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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