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Independent component analysis based on symmetrised scatter matrices

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Title: Independent component analysis based on symmetrised scatter matrices
Authors: Taskinen, S.1 slahola@maths.jyu.fi, Sirkiä, S.1, Oja, H.2
Source: Computational Statistics & Data Analysis. Jun2007, Vol. 51 Issue 10, p5103-5111. 9p.
Subjects: Symmetric matrices, S-matrix theory, Principal components analysis, Matrices (Mathematics)
Abstract: Abstract: A new method for separating the mixtures of independent sources has been proposed recently in [Oja et al. (2006). Scatter matrices and independent component analysis. Austrian J. Statist., to appear]. This method is based on two scatter matrices with the so-called independence property. The corresponding method is now further examined. Simple simulation studies are used to compare the performance of so-called symmetrised scatter matrices in solving the independence component analysis problem. The results are also compared with the classical FastICA method. Finally, the theory is illustrated by some examples. [Copyright &y& Elsevier]
Copyright of Computational Statistics & Data Analysis is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 24862239
AccessLevel: 6
PubType: Periodical
PubTypeId: serialPeriodical
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  Data: Independent component analysis based on symmetrised scatter matrices
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  Data: Abstract: A new method for separating the mixtures of independent sources has been proposed recently in [Oja et al. (2006). Scatter matrices and independent component analysis. Austrian J. Statist., to appear]. This method is based on two scatter matrices with the so-called independence property. The corresponding method is now further examined. Simple simulation studies are used to compare the performance of so-called symmetrised scatter matrices in solving the independence component analysis problem. The results are also compared with the classical FastICA method. Finally, the theory is illustrated by some examples. [Copyright &y& Elsevier]
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  Data: <i>Copyright of Computational Statistics & Data Analysis is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.csda.2006.07.010
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      – Code: eng
        Text: English
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        Type: general
      – SubjectFull: S-matrix theory
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      – SubjectFull: Principal components analysis
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      – SubjectFull: Matrices (Mathematics)
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      – TitleFull: Independent component analysis based on symmetrised scatter matrices
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              Text: Jun2007
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