Eigenvectors, Eigenvalue, Data Science, Machine Learning, Principal Component.
compression? If we could represent each component as the outer product of 2 vectors we can get the matrix form while obtaining some actual compression (2 vectors + a scalar is less data than its resultant matrix). Therefore, a matrix or singular component can be represented in a compressed form as: