Figure 1From: Study of large and highly stratified population datasets by combining iterative pruning principal component analysis and structureOutline of the ipPCA framework. The framework consists of three main components. First, the genetic data are encoded, zero-means centered and normalized. Then, individuals are projected onto a space spanned by the principal components of the input data matrix. Next, a structure metric is calculated to decide whether to advance to the clustering step or to terminate the algorithm. When the metric does not cross the threshold, a homogenous subpopulation is resolved and subsequently the algorithm terminates. Otherwise, the individuals are bisected. The algorithm iterates until all individuals have been assigned into terminal subpopulations.Back to article page