Non-Hierarchic Document Clustering Using the ICL Distributed Array Processor.

Edie M. Rasmussen, Peter Willett: Non-Hierarchic Document Clustering Using the ICL Distributed Array Processor. SIGIR 1987: 132-139

@inproceedings{DBLP:conf/sigir/RasmussenW87,
  author    = {Edie M. Rasmussen and
               Peter Willett 0002},
  title     = {Non-Hierarchic Document Clustering Using the ICL Distributed
               Array Processor},
  booktitle = {Proceedings of the Tenth Annual International ACM SIGIR Conference
               on Research and Development in Information Retrieval, New Orleans,
               Louisiana, USA, June 3-5, 1987},
  publisher = {ACM},
  year      = {1987},
  pages     = {132-139},
  ee        = {db/conf/sigir/RasmussenW87.html},
  crossref  = {DBLP:conf/sigir/87},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

BibTeX

Abstract

This paper considers the suitability and efficiency of a highly parallel computer, the ICL Distributed Array Processor (DAP), for document clustering. Algorithms are described for the implementation of the single-pass and reallocation clustering methods on the DAP and on a conventional mainframe computer. These methods are used to classify the Cranfield, Vaswani and UKCIS document test collections. The results suggest that the parallel architecture of the DAP is not well suited to the variable-length records which characterise bibliographic data.

Copyright © 1987 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.

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Printed Edition

Proceedings of the Tenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, New Orleans, Louisiana, USA, June 3-5, 1987. ACM 1987
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Referenced by

Fazli Can, Esen A. Ozkarahan: Concepts and Effectiveness of the Cover-Coefficient-Based Clustering Methodology for Text Databases. ACM Trans. Database Syst. 15(4): 483-517(1990)

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