Independent Component Analysis (ICA) is a statistical procedure used to identify the independent components of a data set. The goal of ICA is to identify the sources of variation in a data set that are not accounted for by the main factors or covariates of interest.
ICA is typically used in research settings to explore the structure of data sets.
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