Invention Application
- Patent Title: CROSS-DOMAIN CLUSTERABILITY EVALUATION FOR CROSS-GUIDED DATA CLUSTERING BASED ON ALIGNMENT BETWEEN DATA DOMAINS
- Patent Title (中): 基于数据域之间对齐的跨导数据聚类的跨域可分级评估
-
Application No.: US13434105Application Date: 2012-03-29
-
Publication No.: US20120197892A1Publication Date: 2012-08-02
- 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
- 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.
Public/Granted literature
Information query
