Title: A robustification of independent component analysis
Authors: Brys, G ×
Hubert, Mia
Rousseeuw, Peter #
Issue Date: 2005
Publisher: John wiley & sons ltd
Series Title: Journal of chemometrics vol:19 issue:5-7 pages:364-375
Abstract: Independent component analysis (ICA) is a statistical method for transforming multivariate data to components that are as independent of each other as possible. In recent years, several algorithms were proposed that perform well in many situations. But when the data contain outliers, these methods may lead to wrong conclusions. Here we robustify the well-known FASTICA method by adding an outlier rejection rule, which does not assume elliptical symmetry. This modification is supported by simulations and real-data examples. Copyright (C) 2006 John Wiley & Sons, Ltd.
ISSN: 0886-9383
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Statistics Section
× corresponding author
# (joint) last author

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