Scalable parallel algorithm for self-organizing maps with applications to sparse data mining problems
US6260036A · kind A · utility
50Cited by
12References
8Claims
0Family size
Inventors
Key dates
| Filing date | May 7, 1998 |
| Grant date | Jul 10, 2001 |
| Priority date | — |
| Expiry date | May 7, 2018 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S707/99937
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and apparatus for retrieving and organizing data using a self-organizing map in a parallel transaction data base system. With this invention, input records of data are represented as n dimensional vectors. Each of these vectors then compressed by eliminating zeros in the components of these vectors. Then, the self-organizing map algorithm is applied to the compressed input records to group the records into a number of clusters, where each cluster comprises a number of records having common input parameters.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.