Grouping documents and data objects via multi-center canopy clustering
US9734235B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 18, 2014 |
| Grant date | Aug 15, 2017 |
| Priority date | — |
| Expiry date | Jun 26, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/93
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A canopy clustering process merges at least one set of multiple single-center canopies together into a merged multi-center canopy. Multi-center canopies, as well as the single-center canopies, can then be used to partition data objects in a dataset. The multi-center canopies allow a canopy assignment condition constraint to be relaxed without risk of leaving any data objects in a dataset outside of all canopies. Approximate distance calculations can be used as similarity metrics to define and merge canopies and to assign data objects to canopies. In one implementation, a distance between a data object and a canopy is represented as the minimum of the distances between the data object and each center of a canopy (whether merged or unmerged), and the distance between two canopies is represented as the minimum of the distances for each pairing of the center(s) in one canopy and the center(s) in the other canopy.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.