Galaxy And Mass Assembly: automatic morphological classification of galaxies using statistical learning
(2017)
Journal Article
Sreejith, S., Pereverzyev Jr, S., Kelvin, L. S., Marleau, F. R., Haltmeier, M., Ebner, J., Bland-Hawthorn, J., Driver, S. P., Graham, A. W., Holwerda, B. W., Hopkins, A. M., Liske, J., Loveday, J., Moffett, A. J., Pimbblet, K. A., Taylor, E. N., Wang, L., & Wright, A. H. (2018). Galaxy And Mass Assembly: automatic morphological classification of galaxies using statistical learning. Monthly notices of the Royal Astronomical Society, 474(4), 5232-5258. https://doi.org/10.1093/mnras/stx2976
© 2018 The Author(s). We apply four statistical learning methods to a sample of 7941 galaxies (z < 0.06) from the Galaxy And Mass Assembly survey to test the feasibility of using automated algorithms to classify galaxies. Using 10 features measured... Read More about Galaxy And Mass Assembly: automatic morphological classification of galaxies using statistical learning.