International Conference on Parallel Computing in Electrical Engineering (PARELEC'02) (2002)
Sept. 22, 2002 to Sept. 25, 2002
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.
P. Grabusts and A. Borisov, "Using Grid-Clustering Methods in Data Classification," International Conference on Parallel Computing in Electrical Engineering (PARELEC'02)(PARELEC), Warsaw, Poland, 2002, pp. 425.