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13-dimensional covariance matrix. Now, for our third step, let’s obtain the eigenpairs of the covariance matrix. An eigenvector v satisfies the following condition: Here, λ is a scalar: the eigenvalue. Since the manual computation of eigenvectors and eigenvalues is a somewhat tedious and elaborate