This folder contains tutorials for running MALPACA and an optional K-means method for selecting multiple templates from a sample. For the publication of these methods, please see https://doi.org/10.1371/journal.pone.0278035

MALPACA.md contains the tutorial for running MALPACA, an automated landmarking method using multiple templates that can accomate large morphological disparity within a sample.

K-means_templates_selection.md contains the tutorial for running a K-means based method to select multiple templates from a sample for executing the MALPACA pipeline. This is an optional steps that can be executed before a MALPACA run when users are uncertain about what templates should be used.