Invention Grant
- Patent Title: Scalable tri-point arbitration and clustering
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Application No.: US15140358Application Date: 2016-04-27
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Publication No.: US10073906B2Publication Date: 2018-09-11
- Inventor: Edwina Lu , Dustin Garvey , Sampanna Salunke , Lik Wong , Aleksey Urmanov
- Applicant: Oracle International Corporation
- Applicant Address: US CA Redwood Shores
- Assignee: Oracle International Corporation
- Current Assignee: Oracle International Corporation
- Current Assignee Address: US CA Redwood Shores
- Agency: Invoke
- Main IPC: G06F17/30
- IPC: G06F17/30

Abstract:
Techniques are described for performing cluster analysis on a set of data points using tri-point arbitration. In one embodiment, a first cluster that includes a set of data points is generated within volatile and/or non-volatile storage of a computing device. A set of tri-point arbitration similarity values are computed where each similarity value in the set of similarity values corresponds to a respective data point pair and is computed based, at least in part, on a distance between the respective data point pair and a set of one or more arbiter data points. The first cluster is partitioned within volatile and/or non-volatile storage of the computing device into a set of two or more clusters. A determination is made, based at least in part on the set of similarity values in the tri-arbitration similarity matrix, whether to continue partitioning the set of data points.
Public/Granted literature
- US20170316079A1 SCALABLE TRI-POINT ARBITRATION AND CLUSTERING Public/Granted day:2017-11-02
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