Co-informatic generative adversarial networks for efficient data co-clustering
US12067474B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 24, 2020 |
| Grant date | Aug 20, 2024 |
| Priority date | — |
| Expiry date | Feb 10, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/094
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method implemented by one or more computing systems includes accessing a first data matrix including a plurality of row data and a plurality of column data. The method further includes providing, to a first generative adversarial network (GAN), a first data input including a plurality of row vectors corresponding to the plurality of row data, and providing, to a second GAN, a second data input including a plurality of column vectors corresponding to the plurality of column data. The method further includes generating, by simultaneous co-clustering the plurality of row vectors and the plurality of column vectors by the first GAN and the second GAN, a co-clustered correlation matrix based on the plurality of row vectors and the plurality of column vectors. The method further includes the co-clustered correlation matrix includes co-clustered associations between the plurality of row data and the plurality of column data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.