Physical Significance! From Google's PageRank algorithm to PCA they're everywhere! In PCA, eigenvalues quantify data variance captured by each principal component, while eigenvectors define the directions of maximum variance. Implementation below uses eigenvector/values:

→ View original post on X — @akshay_pachaar,