Hierarchical clustering with real-time updating
US7720848B2 · kind B2 · utility
16Cited by
13References
13Claims
0Family size
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Key dates
| Filing date | Mar 29, 2006 |
| Grant date | May 18, 2010 |
| Priority date | — |
| Expiry date | Nov 6, 2027 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S707/99942
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A probabilistic clustering system is defined at least in part by probabilistic model parameters indicative of word counts, ratios, or frequencies characterizing classes of the clustering system. An association of one or more documents in the probabilistic clustering system is changed from one or more source classes to one or more destination classes. Probabilistic model parameters characterizing classes affected by the changed association are locally updated without updating probabilistic model parameters characterizing classes not affected by the changed association.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.