Invention Grant
US08655884B2 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
- Patent Title: Cross-domain clusterability evaluation for cross-guided data clustering based on alignment between data domains
- Patent Title (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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Application No.: US13434105Application Date: 2012-03-29
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Publication No.: US08655884B2Publication Date: 2014-02-18
- Inventor: Jeffrey M. Achtermann , Indrajit Bhattacharya , Kevin W. English, Jr. , Shantanu R. Godbole , Sachindra Joshi , Ashwin Srinivasan , Ashish Verma
- Applicant: Jeffrey M. Achtermann , Indrajit Bhattacharya , Kevin W. English, Jr. , Shantanu R. Godbole , Sachindra Joshi , Ashwin Srinivasan , Ashish Verma
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Schmeiser, Olsen & Watts, LLP
- Agent John Pivnichny
- Main IPC: G06F17/30
- IPC: G06F17/30
Abstract:
A computer system 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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