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If I understood correctly, "using results of PCA to select features" (as recommended in this answer) implies visually analysing bi-plots of first two principal components - i.e. the angle between a feature and a principal component. This approach seems impossible with high number of features. Is there a way to interpret the loadings of principal components for automatic feature selection?

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