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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/94594
Title: Clustering in dimension reduction for function approximation problem
Authors: Burnaev, E. V.
Prihodko, P. V.
Keywords: ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатика
Issue Date: 2010
Publisher: Minsk: BSU
Abstract: In order to reduce the dimension of input vectors before construction of ap-proximation MAVE-type methods (minimum average variance estimation) can be used, however they are very computationally intensive. In the present work the modification of method MAVE is described which allows substantial decrease of algorithm run time at the expense of small error increase.
URI: http://elib.bsu.by/handle/123456789/94594
Appears in Collections:Section 8. COMPUTER DATA ANALYSIS IN APPLICATIONS

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