Independent component analysis (ICA) is a method for finding underlying factors or components from multivariate (multidimensional) statistical data. What distinguishes ICA from other methods is that it looks for components that are both statistically independent, and nongaussian. Here we briefly introduce the basic concepts, applications, and estimation principles of ICA.
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Autor:
A. Hyvärinen
J. Karhunen
E. Oja
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