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Hierarchical cluster determination based on subgraph density

机译:基于子图密度的层次聚类确定

摘要

Densest subgraphs of a graph are determined. The graph includes vertices and edges interconnecting the vertices. Each edge connects two of the vertices and has a weight. The vertices and the edges form subgraphs from which the densest subgraphs are determined as those subgraphs having densities greater than a threshold. Clusters at levels of a hierarchy are determined based on the densest subgraphs. Each cluster includes a set of the vertices and a set of the edges of the graph. Each level corresponds to a different density of the clusters. The hierarchy is ordered from a most-dense level of the clusters to a least-dense level of the clusters.
机译:确定图的最密子图。该图包括顶点和将顶点互连的边。每个边连接两个顶点并具有权重。顶点和边缘形成子图,从中确定最密集的子图为那些密度大于阈值的子图。基于最密集的子图确定层次结构级别上的聚类。每个聚类包括一组顶点和一组图形边。每个级别对应于群集的不同密度。层次结构从群集的最密集级别到群集的最低密集级别排序。

著录项

  • 公开/公告号US8971665B2

    专利类型

  • 公开/公告日2015-03-03

    原文格式PDF

  • 申请/专利权人 BIN ZHANG;MEICHUN HSU;

    申请/专利号US201213562598

  • 发明设计人 BIN ZHANG;MEICHUN HSU;

    申请日2012-07-31

  • 分类号G06K9/36;G06F7/00;

  • 国家 US

  • 入库时间 2022-08-21 15:17:24

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