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Flow Complexity: Fast Polytopal Graph Complexity and 3D Object Clustering

机译:流复杂度:快速的多面图复杂度和3D对象聚类

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摘要

In this paper, we introduce a novel descriptor of graph complexity which can be computed in real time and has the same qualitative behavior of polytopal (Birkhoff) complexity, which has been successfully tested in the context of Bioinformatics. We also show how the phase-change point may be characterized in terms of the Laplacian spectrum, by analyzing the derivatives of the complexity function. In addition, the new complexity notion (flow complexity) is applied to cluster a database of Reeb graphs coming from analyzing 3D objects.
机译:在本文中,我们介绍了一种新颖的图复杂度描述符,该描述符可以实时计算并具有与多拓扑(Birkhoff)复杂度相同的定性行为,并已在生物信息学的背景下成功进行了测试。通过分析复杂度函数的导数,我们还展示了如何根据拉普拉斯谱表征相变点。此外,新的复杂性概念(流复杂性)被应用于对来自分析3D对象的Reeb图形数据库进行聚类。

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