Descriptor
| Access to Information | 1 |
| Classification | 1 |
| Cluster Analysis | 1 |
| Cluster Grouping | 1 |
| Data Processing | 1 |
| Electronic Text | 1 |
| Information Retrieval | 1 |
| Online Searching | 1 |
| Set Theory | 1 |
| Vectors (Mathematics) | 1 |
Source
| Journal of the American… | 1 |
Author
| Frieder, Ophir | 1 |
| Ruocco, Anthony S. | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
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Peer reviewedRuocco, Anthony S.; Frieder, Ophir – Journal of the American Society for Information Science, 1997
Proposes use of parallel computing systems to overcome the computationally intense clustering process. Results show some near linear speed up in higher threshold clustering applications, meeting the requirements to classify, group and process large document sets within nonprohibitive execution times. Includes graphs and charts. (JAK)
Descriptors: Access to Information, Classification, Cluster Analysis, Cluster Grouping
