Question: Introduction to Machine Learning Homework 9 : Principle Component Analysis and Feature Dimension Reduction Prof . Yao Wang* 1 . Assume that you have I

Introduction to Machine Learning Homework 9 : Principle Component Analysis and Feature Dimension Reduction Prof . Yao Wang* 1 . Assume that you have I samples each with dimension 3 , described in the data matrix * . * = 4 1 0 ( a ) Find the sample mean . ( b ) Find the sample covariance matrix Q) . ( C ) Find the eigenvalues and eigenvectors . You can use the humpy linaly . eiga to compute* eigenvalues and eigenvectors from @ . ( d) Find the PCA coefficients corresponding to samples in* . ( e ) Reconstruct the original samples from the PCA coefficients . if's

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