Data Science, Linear Algebra, Machine Learning.
convenience. Eigenvectors are crucial for interpreting the significance of eigenvalues. The components of an eigenvector represent how much each element in the vector contributes to the overall transformation. The eigenvector corresponding to an eigenvalue describes the direction along which the