Question
Why do discarded singular values matter when assessing an SVD approximation?
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Correct Answer: D. Their magnitudes determine how much matrix information or reconstruction accuracy is lost
Explanation:
Large discarded singular values would remove substantial structure from the matrix. Small discarded values usually imply a more accurate low-rank approximation.
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