Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
Even with an associated eigenvalue that isn’t 1 (results in stretching or shrinking of its eigenvector), the relative contributions of i_hat and j_hat are still the same; we like to normalize eigenvectors anyways, which means make them have a norm of 1. Quick Eigendecomposition Really quickly let’s