We believe that principal components methods largely fell out of favor with the introduction of the sophisticated cluster-based program STRUCTURE [9,10]. STRUCTURE and similar methods are based on an interpretable population genetics model, whereas principal components seems like a “black box” method. We will discuss how the models underlying the cluster methods, and the PCA technique we will describe, are much closer to each other than they may at first appear to be.
