Linear Algebra, Svd, Eigenvectors, Eigenvalue, Data Science.
single person’s face is stretched into a single column. Now if we apply SVD or separate the Matrix into another form to reduce the dimension, we would represent A as follows: Singular Value Decomposition The SVD is represented as X = U. Σ. Vᵀ where, X = The original Matrix U = Eigenfaces (In the