Bayesian principal component analysis
US6671661B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | May 19, 1999 |
| Grant date | Dec 30, 2003 |
| Priority date | — |
| Expiry date | May 19, 2019 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2111/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Bayesian principal component analysis. In one embodiment, a computer-implemented method for performing Bayesian PCA including inputting a data model; receiving a prior distribution of the data model; determining a posterior distribution; generating output data based on the posterior distribution (such as, a data model, a plurality of principal components, and/or a distribution); and, outputting the output data. In another embodiment, a computer-implemented method including inputting a mixture of a plurality of data spaces; determining a maximum number of principal components for each of the data spaces within the mixture; and, outputting the maximum number of principal components for each of the data spaces within the mixture.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.