Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
rotation, cutting out the noise. Its eigenvalue describes the axis’ importance, or with this analogy, an indication of how fast the shape is spinning on that axis. The other eigenvectors also describe important but more minor axes of this shape. This concept follows the historical story of