  Nearby young stellar moving groups have been identified by many research
groups with different methods and criteria giving rise to cautions on the
reality of some groups. We aim to utilise moving groups in an unbiased way to
create a list of unambiguously recognisable 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 the other known groups are recognised as well;
however, they are combined into two new separate groups (ThOr+Columba and
TucHor+Columba).
