Using Grid-Clustering Methods in Data Classification

  • Authors:

  • Peter Grabusts;Arkady Borisov

  • Affiliations:

  • -;-

  • Venue:
  • PARELEC '02 Proceedings of the International Conference on Parallel Computing in Electrical Engineering
  • Year:
  • 2002

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Abstract

This paper examines grid-clustering method. Unlike the conventional methods, this method organizes the space surrounding the patterns. It uses a multidimensional grid data structure. The resulting block partitioning of the value space is clustered via a neighbor search. The mathematical description of the algorithms employed is given. Some case studies and ideas how to use the algorithms are described.