Large-scale data clustering with dynamic social context
US9639598B2 · kind B2 · utility
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6References
18Claims
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Key dates
| Filing date | Jul 31, 2014 |
| Grant date | May 2, 2017 |
| Priority date | — |
| Expiry date | Jun 19, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/763
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for dynamic, semi-supervised clustering comprises receiving data attributes, generating a set of ensemble partitions using the data attributes, forming a convex hull using the set of ensemble partitions, generating a simplex vector by performing ensemble clustering on the convex hull, receiving dynamic links, deriving an optimal simplex vector using the simplex vector and the dynamic links, computing a current optimal clustering result using the optimal simplex vector, and outputting the current optimal clustering result.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.