Iterative clustering for machine learning model building
US10810513B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 25, 2018 |
| Grant date | Oct 20, 2020 |
| Priority date | — |
| Expiry date | Oct 25, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes performing a first clustering operation to group members of a first data set into a first group of clusters and associating each cluster of the first group of clusters with a corresponding label of a first group of labels. The method includes performing a second clustering operation to group members of a combined data set into a second group of clusters. The combined data set includes a second data set and at least a portion of the first data set. The method includes associating one or more clusters of the second group of clusters with a corresponding label of the first group of labels and generating training data based on a second group of labels and the combined data set. The method includes training a machine learning classifier based on the training data to provide labels to a third data set.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.