Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
requirements of 0-centering and normalizing. The covariance matrix can be thought of as capturing the spread of information as it relates to the original features. Variance describes the features themselves, while covariance describes how the features relate to each other. 4 different data, and