Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
using the exact covariance matrix, so lets go step-by-step as to what a this special matrix actually is: Variance describes the spread of a single variable. While covariance describes the spread or relationship of two variables. Variance: zero-centered feature / n-1 for unbiased estimate, where n