Local Linear Independent Component Analysis Based on Clustering

Abstract

In standard Independent Component Analysis (ICA), a linear data model is used for a global description of the data. Even though linear ICA yields meaningful results in many cases, it can provide a crude approximation only for general nonlinear data distributions. In this paper a new structure is proposed, where local ICA models are used in connection with a… (More)
DOI: 10.1142/S0129065700000429

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