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Characterizing and understanding galaxies with two parameters
Suchetha Cooray, Tsutomu T Takeuchi, Daichi Kashino, Shuntaro A Yoshida, Hai-Xia Ma and Kai T Kono Monthly Notices of the Royal Astronomical Society 524(4) 4976 (2023) https://doi.org/10.1093/mnras/stad2129
Data mining techniques on astronomical spectra data – I. Clustering analysis
Haifeng Yang, Chenhui Shi, Jianghui Cai, et al. Monthly Notices of the Royal Astronomical Society 517(4) 5496 (2022) https://doi.org/10.1093/mnras/stac2975
Effectively using unsupervised machine learning in next generation astronomical surveys
An automatic taxonomy of galaxy morphology using unsupervised machine learning
Alex Hocking, James E. Geach, Yi Sun and Neil Davey Monthly Notices of the Royal Astronomical Society 473(1) 1108 (2018) https://doi.org/10.1093/mnras/stx2351
A large sample of Kohonen selected E+A (post-starburst) galaxies from the Sloan Digital Sky Survey