Transactions of the Institute of Systems, Control and Information Engineers
Online ISSN : 2185-811X
Print ISSN : 1342-5668
ISSN-L : 1342-5668
Independent Component Analysis with External Criteria and Its Expansion into Local Modeling
Katsuhiro HONDANaoya SHIMOMURAHidetomo ICHIHASHI
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2004 Volume 17 Issue 10 Pages 459-467

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Abstract

This paper proposes an enhanced technique of independent component analysis (ICA), which extracts independent components uncorrelated to some external criteria. Fast ICA algorithm is performed after the preprocessing by principal component analysis with external criteria, in which the effects of the external criteria are removed from data sets using regression analysis. The proposed method can also be expanded into local ICA by using hybrid technique of fuzzy clustering and regression analysis. Numerical experiments including knowledge discovery from POS transaction data reveal the characteristic feature of the proposed method.

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