The advantage of the SVD-based approach over the Arnoldi-like approach is that noise in the data and numerical truncation issues can be compensated for by truncating the SVD of V 1 N − − 1 . As noted in accurately computing more than the first couple modes and eigenvalues can be difficult on experimental data sets without this truncation step.