Machine Learning, Image, Data Science, Python, Image Processing.
in descending order) eigenvectors contain most of the overall information of the original matrix A. In this case, we can use only a small number of eigenvectors to reconstruct the matrix A. For example we can use k<<p number of eigenvectors. The k vectors are ordered in terms of the variance