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.
[full text] 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: 9159-3765Dobrotvorskii 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
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