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Please use this identifier to cite or link to this item: http://elib.bsu.by/handle/123456789/94339
Title: Three scatter matrices and independent subspace analysis
Authors: Nordhausen, K.
Oja, H.
Keywords: ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатика
Issue Date: 2010
Publisher: Minsk: BSU
Abstract: In independent subspace analysis (ISA) one assumes that the components of the observed random vector are linear combinations of the components of a latent random vector with independent subvectors. The problem is then to Їnd an estimate of a transformation matrix to recover the independent subvectors. Regular independent component analysis (ICA) is a special case. In this paper we show how three scatter matrices with the so called block independence property can be used in independent subspace analysis. The procedure is illustrated with a small example.
URI: http://elib.bsu.by/handle/123456789/94339
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