Nearby young moving groups with machine learning

We aim to utilize moving groups in an unbiased way to create a list of unambiguously recognizable moving groups and their members. For the analysis, two unsupervised machine-learning algorithms (K-means and Agglomerative Clustering) are applied to previously known bona fide members of nine moving groups from our previous study.

As a result of this study, we recovered six previously known groups (AB Doradus, Argus, {beta} Pic, Carina, TWA and Volans-Carina). Three other known groups are recognized as well; however, they are combined into two new separate groups (ThOr+Columba and TucHor+Columba).