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1 . 4 Problem: PCA ( 1 2 pts . ) Consider the following 1 0 data points: , ( - 1 , 1 ,

1.4 Problem: PCA (12 pts.)
Consider the following 10 data points: ,(-1,1,3,2,-1),(1,0,1,-1,1),(2,3,-1,1,-2),(-2,3,-3,3,2),(-2,-2,2,3,-2),(-2,-3,1,-2,-3),(-3,2,0,-1,-2). Compute the unit-length principle components of x and choose two of them for PCA, then calculate the projection of each data on these two principal components. You could use python or matlab to obtain eigenvectors and eigenvalues.
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