Independent component analysis separating matrix

Principal Components Analysis. The purpose of a principal compon-ents analysis is to identify existing patterns of variation when all variables are analyzed simultaneously. The analysis uses the entire correlation matrix as input and groups the variables showing similar patterns of variation into separate components. Each component thus provides an independent source of information. 

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