Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
the second line both minimizes the distances to each point and maximizes the variance or spread of data. Like I mentioned earlier about eigenvectors in general, principal components can be thought of as recipes of the basis vectors or original features in this case. The eigenvector (shown in red)