Now showing items 1-3 of 3

    • An automatic taxonomy of galaxy morphology using unsupervised machine learning 

      Hocking, Alex; Geach, James E.; Sun, Yi; Davey, Neil (2017-09-15)
      We present an unsupervised machine learning technique that automatically segments and labels galaxies in astronomical imaging surveys using only pixel data. Distinct from previous unsupervised machine learning approaches ...
    • Galaxy morphological classification in deep-wide surveys via unsupervised machine learning 

      Martin, Garreth; Kaviraj, Sugata; Hocking, Alex; Read, Shaun C.; Geach, James E. (2019-10-26)
      Galaxy morphology is a fundamental quantity, that is essential not only for the full spectrum of galaxy-evolution studies, but also for a plethora of science in observational cosmology. While a rich literature exists on ...
    • The Mining and Analysis of Data with Mixed Attribute Types 

      Wakelam, Ed; Davey, Neil; Sun, Yi; Jefferies, Amanda; Alva, Parimala; Hocking, Alex (IARIA, 2016-05-22)
      Mining and analysis of large data sets has become a major contributor to the exploitation of Artificial Intelligence in a wide range of real life challenges, including education, business intelligence and research. In the ...