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Efficient detection of information of interest using mode-based graph clustering

机译:使用基于模式的图聚类有效检测感兴趣的信息

摘要

One embodiment of the present invention provides a computing system. The computing system includes a processor and a computer-readable storage medium. The computer-readable storage medium stores instructions which when executed by the processor cause the processor to perform a method. The method comprises assigning a vertex identifier of a first vertex to a second vertex in a graph based on an edge between the first vertex and the second vertex. The vertices represent elements in a data set, the edge represents a type and strength of relationship between the vertices. The method further comprises provisionally assigning each vertex to a vertex cluster associated with the vertex identifier, and converging the assignments based on a measure of cluster quality associated with all the vertex clusters. Each vertex cluster represents information of interest in the data set. One measure of clustering quality is called “modularity.”
机译:本发明的一个实施例提供了一种计算系统。该计算系统包括处理器和计算机可读存储介质。该计算机可读存储介质存储指令,该指令在由处理器执行时使处理器执行一种方法。该方法包括基于第一顶点和第二顶点之间的边缘将第一顶点的顶点标识符分配给图中的第二顶点。顶点表示数据集中的元素,边表示顶点之间关系的类型和强度。该方法还包括临时地将每个顶点分配给与该顶点标识符相关联的顶点簇,并且基于与所有顶点簇相关联的簇质量的度量来收敛分配。每个顶点簇代表数据集中感兴趣的信息。衡量群集质量的一种方法称为“模块化”。

著录项

  • 公开/公告号US9400834B2

    专利类型

  • 公开/公告日2016-07-26

    原文格式PDF

  • 申请/专利权人 PALO ALTO RESEARCH CENTER INCORPORATED;

    申请/专利号US201314099808

  • 发明设计人 DANIEL DAVIES;

    申请日2013-12-06

  • 分类号G06F17/30;

  • 国家 US

  • 入库时间 2022-08-21 14:30:44

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