Goal-oriented clustering
US6694301B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 31, 2000 |
| Grant date | Feb 17, 2004 |
| Priority date | — |
| Expiry date | Mar 31, 2020 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/41
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Clustering for purposes of data visualization and making predictions is disclosed. Embodiments of the invention are operable on a number of variables that have a predetermined representation. The variables include input-only variables, output-only variables, and both input-and-output variables. Embodiments of the invention generate a model that has a bottleneck architecture. The model includes a top layer of nodes of at least the input-only variables, one or more middle layer of hidden nodes, and a bottom layer of nodes of the output-only and the input-and-output variables. At least one cluster is determined from this model. The model can be a probabilistic neural network and/or a Bayesian network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.