Bibliographic Details
| 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] |
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| Database: |
Engineering Source |
