Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
a stack of singular components, where each component is composed, itself, of an eigenvector that represents underlying row info, another eigenvector that represents the associated column info, and finally a scaling factor which is the shared eigenvalue of both eigenvectors. The full picture of SVD