Invention Grant
- Patent Title: Cluster evaluation in unsupervised learning of continuous data
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Application No.: US15593859Application Date: 2017-05-12
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Publication No.: US10242087B2Publication Date: 2019-03-26
- Inventor: Omri Soceanu , Lev Greenberg , Allon Adir
- 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
- Agent Stosch Sabo
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G06F17/18 ; G06N99/00
Abstract:
A data manager determines an appropriate number of clusters for continuous data using unsupervised learning. The data manager selects an appropriate number of clusters based on at least one temporal stability measure between continuous data from at least two time intervals.
Public/Granted literature
- US20180329977A1 CLUSTER EVALUATION IN UNSUPERVISED LEARNING OF CONTINUOUS DATA Public/Granted day:2018-11-15
Information query
