A normalized data set is stored in the matrix X: 1.766 -0.922 0.862 0.555 0.204 2.003 0.937 0.166 The SVD of X is X = UVT with 0.659 0.496 0.565 -0.021 0.425 0.099 0.438 0.786 0.608 0.595 -0.168 0.498 -0.124 0.624 -0.679 0.366 = diag {3.407, 1.217, 0.251, 0.010} Carry out dimension reduction with respect to the singular value threshold > 0.3 to find the image of T2. [9 marks] A normalized data set is stored in the matrix X: 1.766 -0.922 0.862 0.555 0.204 2.003 0.937 0.166 The SVD of X is X = UVT with 0.659 0.496 0.565 -0.021 0.425 0.099 0.438 0.786 0.608 0.595 -0.168 0.498 -0.124 0.624 -0.679 0.366 = diag {3.407, 1.217, 0.251, 0.010} Carry out dimension reduction with respect to the singular value threshold > 0.3 to find the image of T2