Question
In classical PCA, principal directions can be obtained from eigenvectors of the:
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Correct Answer: A. Covariance matrix of centered features
Explanation:
The covariance matrix summarizes how centered variables vary together. Its eigenvectors identify directions of variance, and its eigenvalues quantify the corresponding amounts.
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