Iterative sampling based dataset clustering
US12361027B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 21, 2019 |
| Grant date | Jul 15, 2025 |
| Priority date | — |
| Expiry date | Jun 25, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In some examples, iterative sampling based dataset clustering may include sampling a dataset that includes a plurality of items to identify a specified number of sampled items. The sampled items may be clustered to generate a plurality of clusters. Un-sampled items may be assigned from the plurality of items to the clusters. Remaining un-sampled items that are not assigned to the clusters may be identified. A ratio associated with the remaining un-sampled items and the plurality of items may be compared to a specified threshold. Based on a determination that the ratio is greater than the specified threshold, an indication of completion of clustering of the plurality of items may be generated.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.