Machine Learning, Dimensionality Reduction, Eigenvectors, Algorithms, Mathematics.
(albeit with some noise because we lost information when we mapped it to a lower dimensional space), we can multiply the loadings Z with the transpose of the eigenvector basis - X̅ = ZVᵗ Note that if k = p i.e we selected ALL eigenvectors in our eigenvector space, V becomes an orthonormal matrix