What is Principal Component Analysis (PCA), and how does it differ from clustering?
Principal Component Analysis (PCA) is a dimension reduction technique.
Principal Component Analysis (PCA) is a dimension reduction technique.
Discriminant analysis is a dimension reduction approach similar to principal components analysis but applied in a classification context.
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