Machine learning for clustering unstructured data
US12339889B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 30, 2020 |
| Grant date | Jun 24, 2025 |
| Priority date | — |
| Expiry date | Apr 8, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, methods, and computer program products for cluster data in a computing network are provided. Different computing devices in a network generate data structures. These data structures have different attributes. A machine learning system is provided to cluster the data structures with the same attributes into clusters. In this way, data structures that include image data are clusters according to the same images. Data structures that include network configuration data are clusters according to the same network configuration data. Data structures that include textual documents are clusters according to the same textual documents or corresponding abstracts.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.