Method and system for analyzing multi-variate data using canonical decomposition
US7171339B2 · kind B2 · utility
31Cited by
7References
23Claims
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Key dates
| Filing date | Jul 11, 2001 |
| Grant date | Jan 30, 2007 |
| Priority date | — |
| Expiry date | Jul 11, 2021 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2218/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A canonical decomposition (CD) method that includes building a multi-variate linear autoregressive (“MLAR”) model from an original data set or from a reduced set derived by data reduction methods from the original data set. The MLAR analysis is followed by seeking a coordinate transformation of the MLAR model to obtain the best possible match with one or more canonical forms representing relationships among components. For multi-variate data with a truly hierarchical structure, CD accurately extracts the underlying sources of the system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.