System and method for adaptive categorization for use with dynamic taxonomies
US8161028B2 · kind B2 · utility
5Cited by
10References
16Claims
0Family size
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Key dates
| Filing date | Dec 5, 2008 |
| Grant date | Apr 17, 2012 |
| Priority date | — |
| Expiry date | Oct 15, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/355
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system, method and computer program product provides a solution to a class of categorization problems using a semi-supervised clustering approach, the method employing performing a Soft Seeded k-means algorithm, which makes effective use of the side information provided by seeds with a wide range of confidence levels, even when they do not provide complete coverage of the pre-defined categories. The semi-supervised clustering is achieved through the introductions of a seed re-assignment penalty measure and model selection measure.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.