Exploiting parallelism to support scalable hierarchical clustering.
A distributed memory parallel version of the group average hierarchical agglomerative clustering algorithm is proposed to enable scaling the document clustering problem to large collections. Using standard message passing operations reduces interprocess communication while maintaining efficient load...
| Publicado en: | Journal of the American Society for Information Science & Technology Vol. 58; no. 8; pp. 1207 - 1222 |
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| Autores principales: | , , , , |
| Formato: | algorithm equations & formulas research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Jun2007
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| Acceso en línea: | Ver este registro en EBSCOhost |