Based on astrometric data from Gaia Data-Release 2 (DR2), we employ an unsupervised machine learning method to blindly search for open star clusters in the Milky Way within the Galactic latitude range of |b| < 20. In addition to 2080 known clusters, 74 new open cluster candidates are found. In this work, we present the positions, apparent radii, parallaxes, proper motions and member stars of these candidates. Meanwhile, to obtain the physical parameters of each candidate cluster, stellar isochrones are fit to the photometric data. The results show that the apparent radii and the observed proper motion dispersions of these new candidates are consistent with those of open clusters previously identified in Gaia DR2.

基于来自Gaia Data-Release 2 (DR2) 的天体测量数据，我们采用无监督机器学习方法，在银河系纬度范围内盲目搜索银河系中的疏散星团。乙| < 20. 除了 2080 个已知星团外，还发现了 74 个新的开放星团候选。在这项工作中，我们展示了这些候选者的位置、视半径、视差、自行和成员恒星。同时，为了获得每个候选星团的物理参数，将恒星等时线与光度数据拟合。结果表明，这些新候选者的表观半径和观察到的自行弥散与先前在Gaia DR2 中发现的疏散星团一致。