Eigenvectors, Data Science, Analytics, Principal Component, Graph.
component. The Eigenvalues ranks the Eigenvector, signifying its importance. The first ranked eigenvector is the first PC. Geometrically speaking, principal components represent the lines that capture most information of the data or maximal amount of variance. The relationship between variance and