Understanding Singular Value Decomposition If you have a matrix A with dim = n, it is possible to compute n eigenvalues (ordinary numbers like 1.234) and n associated eigenvectors, each with n values.

In this study, we use four new approaches to automated chromosome identification — singular value decomposition (SVD), principal components analysis (PCA), Fisher discriminant analysis ...