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Given the results of eigen-decomposition of the covariance matrix of the mean-centered dataset: P1X^X^T=UUT=0.820.540.160.260.60.760.510.580.630.7900010.1600050.050.820.260.510.550.60.580.160.760.63 where X^ is the matrix of the mean-centered dataset, P is
Given the results of eigen-decomposition of the covariance matrix of the mean-centered dataset: P1X^X^T=UUT=0.820.540.160.260.60.760.510.580.630.7900010.1600050.050.820.260.510.550.60.580.160.760.63 where X^ is the matrix of the mean-centered dataset, P is the number of samples. If we set K=2 for Linear Auto-encoder, which statement is correct? A The feature reduction rate is 66.67%. B The code book C is C=0.260.60.760.510.580.63 C The first principle component is 0.820.540.16. D None of the above is correct Step by Step Solution
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PostgreSQL 10 High Performance Expert Techniques For Query Optimization High Availability And Efficient Database Maintenance
Authors: Ibrar Ahmed ,Gregory Smith ,Enrico Pirozzi
3rd Edition
1788474481, 978-1788474481
