What is an Eigenvalue and Eigenvector?
Eigenvectors are used for understanding linear transformations. They are the directions along which a particular linear transformation acts by flipping, compressing, or stretching. Eigenvalues can be referred to as the strength of the transformation in the direction of the eigenvector or the factor by which the compression occurs. We usually calculate the eigenvectors for a correlation or covariance matrix in data analysis.
