In Principal Component Analysis (PCA), the principal components are the eigenvectors of which specific matrix?
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Covariance matrix
The covariance matrix captures the linear relationships between all pairs of features. The eigenvectors of this matrix correspond to the directions of maximum variance in the data.
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- In PCA, the directions of maximum variance are found by calculating the eigenvectors of which matrix?