Journal "Computational Technologies"

Article information

2007 , Volume 12, Special issue, p.50-58

Pestunov I.A., Dobrotvorskii D.I., Sinyavskiy Y.N.

Classification of large datasets under small a priori information

An effective feature extraction method for processing of large data sets and a hierarchical nonparametric classifier, developed on its basis, are presented. Results of experimental study on the model and real data confirming its efficiency are presented.

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Author(s):
Pestunov Igor Alekseevich
PhD. , Associate Professor
Position: Leading research officer
Office: Federal Research Center for Information and Computational Technologies
Address: 630090, Russia, Novosibirsk, Ac. Lavrentiev ave., 6
Phone Office: (383) 334-91-55
E-mail: pestunov@ict.nsc.ru
SPIN-code: 9159-3765

Dobrotvorskii D.I.
Position: Student
Office: Institute of Computational Technologies SB RAS
Address: 630090, Russia, Novosibirsk, Ac. Lavrentiev ave., 6
Phone Office: (383) 330 85 70
E-mail: pestunov@ict.nsc.ru

Sinyavskiy Yuriy Nikolaevich
Position: Research Scientist
Office: Institute of Computational Technologies SB RAS
Address: 630090, Russia, Novosibirsk, Ac. Lavrentiev ave., 6
E-mail: yorikmail@gmail.com

Bibliography link:
Pestunov I.A., Dobrotvorskii D.I., Sinyavskiy Y.N. Classification of large datasets under small a priori information // Computational technologies. 2007. V. 12. Special issue 4. P. 50-58