Group clustering using inter-group dissimilarities
US10706079B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 23, 2018 |
| Grant date | Jul 7, 2020 |
| Priority date | — |
| Expiry date | Jul 8, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/1097
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Certain embodiments described herein are generally directed to improving performance of one or more machines within a system by clustering multidimensional datasets relating to the performance of the machines using inter-group dissimilarities between groups of the dataset. The method for improving performance of one or more machines within a system, includes forming a multidimensional dataset having a plurality of groups using performance related data associated with one or more machines in the system, clustering the plurality of groups into one or more clusters based on intergroup dissimilarities between the plurality of groups, identifying one or more anomalous clusters from among the one or more clusters, identifying the one or more anomalous groups in the one or more anomalous clusters, and adjusting a configuration of the system to improve the performance of the one or more machines corresponding to the one or more anomalous groups.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.