53 citations · 106 across the 8 of their papers we have counts for
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astro-ph.IM2020★ 53 cited
Cataloging the radio-sky with unsupervised machine learning: a new approach for the SKA era
T. J. Galvin, M. Huynh, R. P. Norris +6
We develop a new analysis approach towards identifying related radio components and their corresponding infrared host galaxy based on unsupervised machine learning methods. By expl…
astro-ph.IM2019
Radio Galaxy Zoo: Unsupervised Clustering of Convolutionally Auto-encoded Radio-astronomical Images
Nicholas O. Ralph, Ray P. Norris, Gu Fang +8
This paper demonstrates a novel and efficient unsupervised clustering method with the combination of a Self-Organising Map (SOM) and a convolutional autoencoder. The rapidly increa…