Clustering with Prototype Entity Selection in Data Mining

E. Kovacs; I. Ignat

doi:10.1109/AQTR.2006.254572

A
AQTR
2006
2006 IEEE International Conference on Automation, Quality and Testing, Robotics
Abstract - Clustering with Prototype Entity Selection in Data Mining

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2006 IEEE International Conference on Automation, Quality and Testing, Robotics

Clustering with Prototype Entity Selection in Data Mining

Cluj-Napoca

May 25-May 28

ISBN: 1-4244-0360-X

	ASCII Text	x
	E. Kovacs, I. Ignat, "Clustering with Prototype Entity Selection in Data Mining," International Conference on Automation, Quality and Testing, Robotics, vol. 1, pp. 415-419, 2006 IEEE International Conference on Automation, Quality and Testing, Robotics, 2006.

	BibTex	x
	@article{ 10.1109/AQTR.2006.254572, author = {E. Kovacs and I. Ignat}, title = {Clustering with Prototype Entity Selection in Data Mining}, journal ={International Conference on Automation, Quality and Testing, Robotics}, volume = {1}, year = {2006}, isbn = {1-4244-0360-X}, pages = {415-419}, doi = {http://doi.ieeecomputersociety.org/10.1109/AQTR.2006.254572}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - International Conference on Automation, Quality and Testing, Robotics TI - Clustering with Prototype Entity Selection in Data Mining SN - 1-4244-0360-X SP415 EP419 A1 - E. Kovacs, A1 - I. Ignat, PY - 2006 KW - prototype entity selection KW - data clustering KW - data mining KW - classification method KW - mathematical essence VL - 1 JA - International Conference on Automation, Quality and Testing, Robotics ER -

E. Kovacs, Dept. of Comput. Sci., Tech. Univ. of Cluj-Napoca

I. Ignat, Dept. of Comput. Sci., Tech. Univ. of Cluj-Napoca

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AQTR.2006.254572

This paper presents an original classification method used in data mining, namely, the clustering with prototype entity selection (abbreviated CPES). The paper describes its mathematical essence, presents the algorithm and the experimental results obtained as compared to other methods of classification

Index Terms:

prototype entity selection, data clustering, data mining, classification method, mathematical essence

Citation:

E. Kovacs, I. Ignat, "Clustering with Prototype Entity Selection in Data Mining," aqtr, vol. 1, pp.415-419, 2006 IEEE International Conference on Automation, Quality and Testing, Robotics, 2006

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