发明授权
US08661039B2 Cross-domain clusterability evaluation for cross-guided data clustering based on alignment between data domains
失效
基于数据域之间的对齐的交叉引导数据聚类的跨域可聚集性评估
- 专利标题： Cross-domain clusterability evaluation for cross-guided data clustering based on alignment between data domains
- 专利标题（中）： 基于数据域之间的对齐的交叉引导数据聚类的跨域可聚集性评估
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申请号： US13437287申请日： 2012-04-02
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公开(公告)号： US08661039B2公开(公告)日： 2014-02-25
- 发明人: Jeffrey M. Achtermann , Indrajit Bhattacharya , Kevin W. English, Jr. , Shantanu R. Godbole , Sachindra Joshi , Ashwin Srinivasan , Ashish Verma
- 申请人： Jeffrey M. Achtermann , Indrajit Bhattacharya , Kevin W. English, Jr. , Shantanu R. Godbole , Sachindra Joshi , Ashwin Srinivasan , Ashish Verma
- 申请人地址： US NY Armonk
- 专利权人： International Business Machines Corporation
- 当前专利权人： International Business Machines Corporation
- 当前专利权人地址： US NY Armonk
- 代理机构： Schmeiser, Olsen & Watts, LLP
- 代理商 John Pivnichny
- 主分类号： G06F17/30
- IPC分类号： G06F17/30
摘要：
A process for evaluating cross-domain clusterability upon a target domain and a source domain. The cross-domain clusterability is calculated as a linear combination of a target clusterability and a source-target pair matchability, by use of a trade-off parameter that determines relative contribution of the target clusterability and the source-target pair matchability. The target clusterability quantifies how clusterable the target domain is. The source-target pair matchability is calculated as an average of a target-side matchability and a source-side matchability, which quantifies how well target centroids of the target domain are aligned with the source centroids and how well source centroids of the source domain are aligned with the target centroids, respectively.
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