Predictive model clustering
US10769193B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 20, 2017 |
| Grant date | Sep 8, 2020 |
| Priority date | — |
| Expiry date | Dec 20, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/35
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Performing data clustering in a model property vector space. Input data is received comprising a plurality of data instances in a data vector space. A model property vector specification is defined for a model vector. Information is identified from the input data, and a model property vector is created in the model property vector space for each of the plurality of data instances. A target number of clusters is identified and used to perform a data clustering procedure. An output is generated comprising a plurality of data segments and one or more clustering rules. For each data cluster, a predictive model is constructed for each data segment of the plurality of data segments.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.