Open clusters identifying by multi-scale density feature learning
- 4 February 2021
- journal article
- research article
- Published by Springer Science and Business Media LLC in Astrophysics and Space Science
- Vol. 366 (2), 1-11
- https://doi.org/10.1007/s10509-021-03923-9
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (61806022)
- State Key Laboratory of Geo-Information Engineering (SKLGIE2018-M-3-4)
- Fundamental Research Funds for the Central Universities, CHD (300102269304, 300102269205, 300102269103)
- National Key R&D Program of China (2019YFA0405501)
This publication has 26 references indexed in Scilit:
- TheGaia-ESO Survey: Probes of the inner disk abundance gradientAstronomy & Astrophysics, 2016
- Abundances and kinematics for ten anticentre open clustersAstronomy & Astrophysics, 2016
- Deep learningNature, 2015
- Global survey of star clusters in the Milky WayAstronomy & Astrophysics, 2013
- New catalogue of optically visible open clusters and candidatesAstronomy & Astrophysics, 2002
- Determination of proper motions and membership of the open clusters NGC 1817 and NGC 1807Astronomy and Astrophysics Supplement Series, 1998
- Bagging predictorsMachine Learning, 1996
- On optimal and data-based histogramsBiometrika, 1979
- On Estimation of a Probability Density Function and ModeThe Annals of Mathematical Statistics, 1962
- Remarks on Some Nonparametric Estimates of a Density FunctionThe Annals of Mathematical Statistics, 1956