Summary of results across PCA, SFA, and admixture-based models.

The columns are the four different types of matrix factorizations we considered, and the rows are the different data sets we applied each method to that show easily interpretable results. “NR” indicates that we did not run the method on those data, and a ‘–’ indicates that the results were not straightforward to describe (see Results for details). Mean indicates that the factor is the mean allele frequencies for the complete set of individuals; contrast indicates a difference in the allele frequencies along a geographical gradient.