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Using grid-clustering methods in data classification

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2 Author(s)
Grabusts, P. ; Decision Support Syst. Group, Riga Tech. Univ., Latvia ; Borisov, A.

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 on how to use the algorithms are described.

Published in:

Parallel Computing in Electrical Engineering, 2002. PARELEC '02. Proceedings. International Conference on

Date of Conference:

2002