Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
Matrix A is decomposed into matrix Q which holds its eigenvectors as the columns, and capital lambda which holds the associated eigenvalues in its diagonal, then finally the transpose (technically inverse but they are the same for an orthogonal matrix) of Q (source) Only special matrices have nice