Question
Why is mean-centering normally performed before PCA?
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Correct Answer: B. PCA should describe variation around the data mean rather than around the origin
Explanation:
Subtracting each feature mean places the cloud’s center at the origin. The components then reflect covariance and directions of deviation from the average observation.
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