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International Conference on Parallel Computing in Electrical Engineering (PARELEC'02)
Warsaw, Poland
September 22-September 25
ISBN: 0-7695-1730-7
Peter Grabusts, Riga Technical University
Arkady Borisov, Riga Technical University
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.
Citation:
Peter Grabusts, Arkady Borisov, "Using Grid-Clustering Methods in Data Classification," parelec, pp.425, International Conference on Parallel Computing in Electrical Engineering (PARELEC'02), 2002
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