首页> 外国专利> Cross-domain clusterability evaluation for cross-guided data clustering based on alignment between data domains

Cross-domain clusterability evaluation for cross-guided data clustering based on alignment between data domains

机译:基于数据域之间一致性的跨域可聚类性评估,用于交叉引导数据聚类

摘要

A method and system. Target clusterability is calculated as an average of a respective clusterability of at least one target data item comprised by a target domain. Target-side matchability is calculated as an average of a respective matchability of each target centroid of the target domain to source centroids of a source domain, wherein the source domain comprises at least one source data item. Source-side matchability is calculated as an average of a respective matchability of each source centroid of said source centroids to the target centroids. Source-target pair matchability is calculated as an average of the target-side matchability and the source-side matchability. Cross-domain clusterability between the target domain and the source domain is calculated as a linear combination of the calculated target clusterability and the calculated source-target pair matchability. The cross-domain clusterability is transferred to a device.
机译:一种方法和系统。目标可聚类性计算为目标域所包含的至少一个目标数据项的相应可聚类性的平均值。目标侧匹配性计算为目标域的每个目标质心与源域的源质心的相应匹配性的平均值,其中源域包含至少一个源数据项。源侧匹配性计算为所述源质心的每个源质心与目标质心的相应匹配性的平均值。源-目标对匹配性计算为目标端匹配性和源端匹配性的平均值。目标域和源域之间的跨域聚类性计算为计算的目标聚类性和计算的源-目标对匹配性的线性组合。跨域可聚变性将传输到设备。

著录项

  • 公开/公告号US11816131B2;US2023011816131B2;US11816131B2;US11816131

    专利类型

  • 公开/公告日2023-11-14

    原文格式PDF

  • 申请/专利权人 KYNDRYL INC.;

    申请/专利号US16362861;US201900016362861;US201916362861A;US201916362861

  • 发明设计人

    申请日2019-03-25

  • 分类号G06F16/28;G06F16/35;G06F16/951;

  • 国家

  • 入库时间 2024-06-15 00:07:01

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