Membership determination of open clusters based on a spectral clustering method
Author:
Affiliation:
1. School of Information Science and Engineering, Changzhou University, Changzhou 213164, China
Publisher
Oxford University Press (OUP)
Subject
Space and Planetary Science,Astronomy and Astrophysics
Link
http://academic.oup.com/pasj/article-pdf/70/4/68/25439158/psy059.pdf
Reference23 articles.
1. New membership determination and proper motions of NGC 1817. Parametric and non-parametric approach
2. TheGaiamission
3. Membership determination of open cluster NGC 188 based on the DBSCAN clustering algorithm
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1. The membership of stars, density profile, and mass segregation in open clusters using a new machine learning-based method;Monthly Notices of the Royal Astronomical Society;2023-05-29
2. A Machine-learning-based Investigation of the Open Cluster M67;The Astrophysical Journal;2018-12-05
3. Memberships, Distances, and Proper Motions of the Open Clusters NGC 2112, NGC 2477, NGC 7789, and Collinder 261 fromGaia-DR2;Publications of the Astronomical Society of the Pacific;2018-10-19
4. Memberships, distance and proper-motion of the open cluster NGC 188 based on a machine learning method;Astrophysics and Space Science;2018-10-11
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