Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
out above, U and V are composed of eigenvectors that represent the row and column information of the image, respectively. We can get the row information of a matrix A by multiplying it with its transpose: A * A^T, and similar for column information: A^T * A. These are special matrices as they