22. What is the difference between an eigenvalue and an eigenvector?
The directions along which a linear transformation occurs by flipping, compressing, or stretching are known as eigenvalues. While eigenvectors are used to understand linear transformations. In data analysis, the eigenvectors of a correlation or covariance matrix are commonly calculated.
