Data Visualization
Independent Component Analysis (ICA) is a computational technique used to separate a multivariate signal into additive, independent components. It is particularly useful in the context of feature selection and extraction because it can identify hidden factors or sources that are statistically independent from each other, enabling more effective data representation and analysis.
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