Cluster evaluation in unsupervised learning of continuous data
US10242087B2 · kind B2 · utility
1Cited by
3References
19Claims
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Key dates
| Filing date | May 12, 2017 |
| Grant date | Mar 26, 2019 |
| Priority date | — |
| Expiry date | May 12, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/006
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.