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DS-200 · Question #9
DS-200 Question #9: Real Exam Question with Answer & Explanation
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Question
You have a large m x n data matrix M. You decide you want to perform dimension reduction/clustering on your data and have decide to use the singular value decomposition (SVD; also called principal components analysis PCA) Refer to the passage above. What represents the SVD of the Matrix standard M given the following information: U is m x m unitary V is n x n unitary S is m x n diagonal Q is n x n invertible D is n x n diagonal L is m x m lower triangular U is m x m upper triangular
Options
- AM = U S V
- BM = U P
- CM = Q D Q-1
- DM = L U
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