91 citations · 100 across the 2 of their papers we have counts for
2 papers
astro-ph.IM2017★ 91 cited
An automatic taxonomy of galaxy morphology using unsupervised machine learning
Alex Hocking, James E. Geach, Yi Sun +1
We present an unsupervised machine learning technique that automatically segments and labels galaxies in astronomical imaging surveys using only pixel data. Distinct from previous…
astro-ph.IM2015★ 9 cited
Teaching a machine to see: unsupervised image segmentation and categorisation using growing neural gas and hierarchical clustering
Alex Hocking, James E. Geach, Neil Davey +1
We present a novel unsupervised learning approach to automatically segment and label images in astronomical surveys. Automation of this procedure will be essential as next-generati…