Finding structures in multi-dimensional spaces using image-guided clustering
US7519227B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 7, 2008 |
| Grant date | Apr 14, 2009 |
| Priority date | — |
| Expiry date | Jul 7, 2028 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S707/99945
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method executed on a computer for determining a hierarchical clustering of a multidimensional dataset in a multidimensional image space comprises receiving a pyramid of multidimensional images of the multidimensional dataset in which the images of the pyramid representing a first multidimensional image of the multidimensional dataset at successively lower resolution levels; identifying data clusters at each resolution level of the pyramid by applying a set of perceptual grouping constraints; plotting a variation curve of a magnitude of data clusters identified at each resolution level of the pyramid as a function of resolution level; and generating a clustering hierarchy for the multidimensional dataset by identifying the resolution level at each salient bend in the variation curve as a level of the clustering hierarchy.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.