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On the complexity of graph clustering with bounded diameter

机译:有界直径图聚类的复杂性

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In this paper, we study the graph clustering (partition) problem. The problem is to determine whether there is a partition of the vertices of a graph into certain number of clusters such that the diameter of subgraph induced by each cluster does not exceed a prescribed bound. An amusing result shows that for chordal graphs (respectively, dually chordal graphs) the problem is NP-complete if the diameter bound is restricted to any even integer (respectively, to any odd integer); otherwise, the problem is polynomial solvable for both classes of graphs. Moreover, by a simple reduction using graph powers, we show that there is a unified approach for solving this problem in various graph classes, including distance-hereditary graphs, doubly chordal graphs, circular-arc graphs, and AT-free graphs.
机译:在本文中,我们研究图聚类(分区)问题。问题是要确定图的顶点是否划分为一定数量的簇,以使每个簇引起的子图的直径不超过规定的范围。一个有趣的结果表明,对于弦图(分别是双弦图),如果将直径范围限制为任何偶数整数(分别为任何奇数整数),则问题是NP完全的。否则,该问题对于两类图都是多项式可解的。此外,通过使用图幂的简单归约,我们表明存在一个统一的方法来解决各种图类中的此问题,包括距离遗传图,双弦弦图,圆弧图和无AT图。

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