Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
their covariance matrices (source) Covariance matrices can be constructed to describe how features relate to each other given their samples, i.e. tabular data with columns as features and rows as samples. This is different then say an image, that doesn’t have a conception of features or samples,