Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
covariance everywhere else; it is symmetric (source) Additionally, the covariance matrix can be represented as: Unbiased estimate of the covariance matrix of A where n is the number of samples This is similar to the matrices we were using in SVD to find our singular components but with the