IPCAPS

An unsupervised clustering algorithm based on iterative pruning is for capturing population structure. This version supports ordinal data which can be applied directly to SNP data to identify fine-level population structure and it is built on the iterative pruning Principal Component Analysis ('ipPCA') algorithm as explained in Intarapanich et al. (2009) doi:10.1186/1471-2105-10-382. The 'IPCAPS' involves an iterative process using multiple splits based on multivariate Gaussian mixture modeling of principal components and 'Expectation-Maximization' clustering as explained in Lebret et al. (2015) doi:10.18637/jss.v067.i06. In each iteration, rough clusters and outliers are also identified using the function rubikclust() from the R package 'KRIS'.