Evaluation of nearby young moving groups based on unsupervised machine learning

Abstract

Nearby young stellar moving groups have been identified by many research groups with different methods and criteria, giving rise to caution regarding the reality of some groups. 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 machinelearning algorithms (K-means and Agglomerative Clustering) are applied to previously known bona fide members of ninemoving groups from our previous study. As a result of this study, we recovered six previously known groups (AB Doradus, Argus, β 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).