PCA with clustering according to facial pattern
I am comparing animal species based on their facial color pattern in Rstudio. The relatively new used packages resulted in a lot of principal components (1 for each sample). Only the first 2 (possibly 3) PCs are of importance in determining if species are statistically different, opposed to visually on a PCA.