Identifying physical structures in our galaxy with Gaussian mixture models: an unsupervised machine learning technique

Author(s):
Tiwari, M.; Kievit, R.; Kabanovic, S.; Bonne, L.; Falasca, F.; Guevara, C.; Higgins, R.; Justen, M.; Karim, R.; Kavak, Ü.; Pabst, C.H.M.; Pound, M.W.; Schneider, N.; Simon, R.; Stutzki, J.; Wolfire, M.; Tielens, A.G.G.M.
Published
2023
Publication type
Article / Letter to editor
Star forming regionsGaussian mixture model15651937Astrophysics - Astrophysics of Galaxies
Date issued
2023
Language
English
Is part of
The Astrophysical Journal (2023), No. 2, 136
hdl
1887/3736337
doi
10.3847/1538-4357/ad003c
URL
https://ui.adsabs.harvard.edu/abs/2023ApJ...958..136T