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NETWORK REPRESENTATION FOR EVOLUTION OF CLUSTERS AND GROUPS

机译:集群和群体演变的网络表示

摘要

An example method includes receiving a data set, each data point in the data set being associated with an indication of time, and a distance function, determining overlapping intervals over a time period range, identifying subsets of data in each overlapping interval based on the indications of time, applying the distance function to each subset of data to identify groups, constructing a node for each group to create a plurality of nodes, determining if two nodes of the plurality of nodes in adjacent time periods are connected by scoring shared data point membership between the two nodes and comparing a score of the shared data point membership to a threshold, and displaying at least two nodes with an indication of time, the two nodes being connected by a line based on the comparison of the score and the threshold.
机译:一个示例方法包括接收数据集,数据集中的每个数据点与时间的指示相关联,距离功能,在时间段范围内确定重叠间隔,基于指示识别每个重叠间隔中的每个重叠间隔中的数据子集 将距离函数应用于每个数据子集以识别组,构建每个组的节点以创建多个节点,确定是否通过评分共享数据点成员来连接相邻时间段中的多个节点的两个节点 在两个节点之间并将共享数据点成员资格的分数与阈值进行比较,并在具有时间指示的指示中显示至少两个节点,这两个节点通过基于分数和阈值的比较连接。

著录项

  • 公开/公告号US2022038341A1

    专利类型

  • 公开/公告日2022-02-03

    原文格式PDF

  • 申请/专利权人 AYASDI AI LLC;

    申请/专利号US202117410399

  • 发明设计人 GUNNAR CARLSSON;

    申请日2021-08-24

  • 分类号H04L12/24;

  • 国家 US

  • 入库时间 2022-08-24 23:35:59

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