Using Grid-Clustering Methods in Data Classification

P
PARELEC
2002
International Conference on Parallel Computing in Electrical Engineering (PARELEC'02)
Abstract - Using Grid-Clustering Methods in Data Classification

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International Conference on Parallel Computing in Electrical Engineering (PARELEC'02)

Using Grid-Clustering Methods in Data Classification (PDF)

Warsaw, Poland

September 22-September 25

ISBN: 0-7695-1730-7

	ASCII Text	x
	Peter Grabusts, Arkady Borisov, "Using Grid-Clustering Methods in Data Classification," Parallel Computing in Electrical Engineering, International Conference on, pp. 425, International Conference on Parallel Computing in Electrical Engineering (PARELEC'02), 2002.

	BibTex	x
	@article{ 10.1109/PCEE.2002.1115319, author = {Peter Grabusts and Arkady Borisov}, title = {Using Grid-Clustering Methods in Data Classification}, journal ={Parallel Computing in Electrical Engineering, International Conference on}, volume = {0}, year = {2002}, isbn = {0-7695-1730-7}, pages = {425}, doi = {http://doi.ieeecomputersociety.org/10.1109/PCEE.2002.1115319}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Parallel Computing in Electrical Engineering, International Conference on TI - Using Grid-Clustering Methods in Data Classification SN - 0-7695-1730-7 SP EP A1 - Peter Grabusts, A1 - Arkady Borisov, PY - 2002 KW - null VL - 0 JA - Parallel Computing in Electrical Engineering, International Conference on ER -

Peter Grabusts, Riga Technical University

Arkady Borisov, Riga Technical University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PCEE.2002.1115319

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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