Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
we can compress or decompose an image, for example. We can think of an image as layers of details (from most informational to least informational). Let’s call these layers “singular components”, where a singular component represents a meaningful part of the image and is the same size of the image.