Cluster evaluation in unsupervised learning of continuous data
US10095774B1 · kind B1 · utility
7Cited by
3References
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Key dates
| Filing date | Dec 21, 2017 |
| Grant date | Oct 9, 2018 |
| Priority date | — |
| Expiry date | Dec 21, 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.