Method for data classification by kernel density shape interpolation of clusters
US7412429B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 15, 2007 |
| Grant date | Aug 12, 2008 |
| Priority date | — |
| Expiry date | Nov 15, 2027 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/764
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for obtaining a shape interpolated representation of shapes of one or more clusters in an image of a dataset that has been clustered comprises generating a density estimate value of each grid point of a set of grid points sampled from the image at a specified resolution for each cluster in the image using a kernel density function; evaluating the density estimate value of each grid point for each cluster to identify a maximum density estimate value of each grid point and a cluster associated with the maximum density estimate value of each grid point; and adding each grid point for which the maximum density estimate value exceeds a specified threshold to the cluster associated with the maximum density estimate value for the grid point to form a shape interpolated representation of the one or more clusters.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.