Question
What is a low-rank approximation?
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Correct Answer: A. A matrix approximation using only a limited number of dominant latent dimensions
Explanation:
A low-rank approximation reconstructs the matrix from a subset of singular components. It preserves major structure while reducing storage and complexity.
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