Invention Grant
- Patent Title: Large-scale data clustering with dynamic social context
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Application No.: US14448271Application Date: 2014-07-31
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Publication No.: US09639598B2Publication Date: 2017-05-02
- Inventor: Jun Wang , Jinfeng Yi
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Scully, Scott, Murphy & Presser, P.C.
- Agent Daniel P. Morris
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G06F7/00 ; G06F17/10 ; G06K9/00 ; G06Q50/00 ; G06K9/62 ; G06Q30/02

Abstract:
A system and method for dynamic, semi-supervised clustering comprises receiving data attributes, generating a set of ensemble partitions using the data attributes, forming a convex hull using the set of ensemble partitions, generating a simplex vector by performing ensemble clustering on the convex hull, receiving dynamic links, deriving an optimal simplex vector using the simplex vector and the dynamic links, computing a current optimal clustering result using the optimal simplex vector, and outputting the current optimal clustering result.
Public/Granted literature
- US20160034554A1 LARGE-SCALE DATA CLUSTERING WITH DYNAMIC SOCIAL CONTEXT Public/Granted day:2016-02-04
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