- 专利标题： Cross-domain clusterability evaluation for cross-guided data clustering based on alignment between data domains
-
申请号： US16362861申请日： 2019-03-25
-
公开(公告)号： US11816131B2公开(公告)日： 2023-11-14
- 发明人: Jeffrey M. Achtermann , Indrajit Bhattacharya , Kevin W. English , Shantanu R. Godbole , Sachindra Joshi , Ashwin Srinivasan , Ashish Verma
- 申请人： Kyndryl, Inc.
- 申请人地址： US NY New York
- 专利权人： KYNDRYL, INC.
- 当前专利权人： KYNDRYL, INC.
- 当前专利权人地址： US NY New York
- 代理机构： Keohane & D'Alessandro, PLLC
- 代理商 Dan Housley; Hunter E. Webb
- 主分类号： G06F16/28
- IPC分类号： G06F16/28 ; G06F16/35 ; G06F16/951
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.
公开/授权文献
信息查询
