Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
just pixel values at row/column positions. From this, one can imagine that the leading eigenvector of this matrix would indicate the diagonal line at which the “true” axis or most meaningful feature lies. The maximal spread of information doesn’t lie on the x or y axis but rather a diagonal, which