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A new approximate cluster deletion algorithm for diamond-free graphs

机译:一种新的无菱形图近似簇删除算法

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摘要

The cluster deletion problem (CD) asks for transforming a given graph into a disjoint union of cliques by removing as few edges as possible. CD is among the most studied combinatorial optimization problem and, for general graphs, it is NP-hard. In the present paper, we identify a new polynomially solvable CD subproblem. We specifically propose a two-phase polynomial-time algorithm that optimally solves CD on the class of (butterfly,diamond)-free graphs. For this latter class of graphs, our two-phase algorithm provides optimal solutions even for another clustering variant, namely, cluster editing. Then, we propose a 2-optimal CD algorithm dedicated to the super-class of diamond-free graphs. For this class, we also show that CD, when parameterised by the number of deleted edges, admits a quadratic-size kernel. Finally, we report the results of experiments carried out on numerous diamond-free graphs, showing the effectiveness of the proposed approximate algorithm in terms of solution quality.
机译:群集删除问题(CD)要求将给定图形转换为诸如尽可能少的边缘的围绕派系的联合。 CD是最多研究的组合优化问题,并且对于一般图,它是NP - 硬。在本文中,我们确定了一个新的多项式可溶性CD子问题。我们具体提出了一种两相多项式算法,可在(蝴蝶,菱形) - 免费图中最佳地解决CD。对于后一类图表,我们的两相算法即使对于另一个聚类变体也提供最佳解决方案,即群集编辑。然后,我们提出了一种专用于超级钻石图的2最优CD算法。对于此类,我们还显示CD,当通过删除的边缘的数量参数进行参数,承认了二次大小的内核。最后,我们报告了在无数菱形图中进行的实验结果,显示了在解决方案质量方面所提出的近似算法的有效性。

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