PCs using SVDS. You are given a python function: U,s, Vtr = svd (Z, full.matrices = False) which computes an “economy" SVD. Given a data matrix x, write python code that: (i) Finds the PCs and mean of the data. (ii) Finds the minimum number of PCs in order that the proportion of variance is at least 90%. (iii) Create an approximation Xhat of x using the number of PCs in part (ii).
PCs using SVDS. You are given a python function: U,s, Vtr = svd (Z, full.matrices = False) which computes an “economy" SVD. Given a data matrix x, write python code that: (i) Finds the PCs and mean of the data. (ii) Finds the minimum number of PCs in order that the proportion of variance is at least 90%. (iii) Create an approximation Xhat of x using the number of PCs in part (ii).
Computer Networking: A Top-Down Approach (7th Edition)
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Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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![5. PCs using SVDs. You are given a python function:
U,s, Vtr = svd (Z, full.matrices = False)
which computes an "economy" SVD. Given a data matrix x, write python code that:
(i) Finds the PCs and mean of the data.
(ii) Finds the minimum number of PCs in order that the proportion of variance is at least
90%.
(iii) Create an approximation Xhat of x using the number of PCs in part (ii).](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd9b982ff-bedd-4762-b2e5-344bc29bfab4%2F29372197-a122-4dba-a03e-dbafa2090780%2F50rxu2_processed.png&w=3840&q=75)
Transcribed Image Text:5. PCs using SVDs. You are given a python function:
U,s, Vtr = svd (Z, full.matrices = False)
which computes an "economy" SVD. Given a data matrix x, write python code that:
(i) Finds the PCs and mean of the data.
(ii) Finds the minimum number of PCs in order that the proportion of variance is at least
90%.
(iii) Create an approximation Xhat of x using the number of PCs in part (ii).
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