Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
iterative methods, and a way to approximate the leading eigenvector of a diagonalizable matrix. Note that this also applies to a weighted graph which still just describes the centrality of each node. Just like in the PCA example, each i-th element of the leading eigenvector represents the relative