A clustering scheme

  • Authors:
  • Fazli Can;Esen A. Ozkarahan

  • Affiliations:
  • Arizona State University;Arizona State University

  • Venue:
  • SIGIR '83 Proceedings of the 6th annual international ACM SIGIR conference on Research and development in information retrieval
  • Year:
  • 1983

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Abstract

In this paper, a new clustering algorithm has been described. The algorithm proposed determines both the number of clusters in a collection, and the number of elements in each cluster before beginning the final clustering process. The complexity assessment of the algorithm and the implementation issues are also emphasized.