  As groups of coeval stars born from the same molecular cloud, an Open cluster
(OC) is an ideal laboratory for studying the structure and dynamical evolution
of the Milky Way. The release of High-Precision Gaia Early Data Release 3 (Gaia
EDR3) and modern machine-learning methods offer unprecedented opportunities to
identify OCs. In this study, we extended conventional HDBSCAN (e-HDBSCAN) for
searching for new OCs in Gaia EDR3. A pipeline was developed based on the
parallel computing technique to blindly search for open clusters from Gaia EDR3
within Galactic latitudes $\left| b \right|$ $<$25 $^\circ$. As a result, we
obtained 3787 star clusters, of which 83 new OCs were reported after
cross-match and visual inspection. At the same time, the main star cluster
parameters are estimated by colour-magnitude diagram fitting. The study
significantly increases the sample size and physical parameters of open
clusters in the catalogue of OCs. It shows the incompleteness of the census of
OCs across our Galaxy.
