Eigenvectors, Data Science, Analytics, Principal Component, Graph.
An understanding about how Eigenvectors and Eigenvalues develops PCA Principle component analysis or PCA is common technique used for dimension reduction. This means that when we have too many variables in the data, we need to reduce the number of variables to be used in future statistical models