Abstract: pyUPMASK is an unsupervised clustering method for stellar clusters that builds upon the original UPMASK (ascl:1504.001) package. Its general approach makes it applicable to analyses that deal with binary classes of any kind, as long as the fundamental hypotheses are met. The core of the algorithm follows the method developed in UPMASK but introducing several key enhancements that make it not only more general, they also improve its performance.
Credit: Pera, M. S.; Perren, G. I.; Moitinho, A.; Navone, H. D.; Vazquez, R. A.
Preferred citation method: https://ui.adsabs.harvard.edu/abs/2021arXiv210101660P