Systems and methods employing cooperative optimization-based dimensionality reduction
US10329900B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 10, 2016 |
| Grant date | Jun 25, 2019 |
| Priority date | — |
| Expiry date | Nov 10, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2218/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Dimensionality reduction systems and methods facilitate visualization, understanding, and interpretation of high-dimensionality data sets, so long as the essential information of the data set is preserved during the dimensionality reduction process. In some of the disclosed embodiments, dimensionality reduction is accomplished using clustering, evolutionary computation of low-dimensionality coordinates for cluster kernels, particle swarm optimization of kernel positions, and training of neural networks based on the kernel mapping. The fitness function chosen for the evolutionary computation and particle swarm optimization is designed to preserve kernel distances and any other information deemed useful to the current application of the disclosed techniques, such as linear correlation with a variable that is to be predicted from future measurements. Various error measures are suitable and can be used.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.