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How does the eigendecomposition of a covariance matrix contribute to data analysis? It classifies data into distinct groups. It calculates the median of each feature.

How does the eigendecomposition of a covariance matrix contribute to data analysis?

It classifies data into distinct groups.

It calculates the median of each feature.

It pinpoints the most frequent values in a dataset.

It identifies the primary directions where variance is most pronounced.

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