50 citations · 147 across the 13 of their papers we have counts for
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astro-ph.IM2019★ 50 cited
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…
astro-ph.IM2019★ 28 cited
Radio Galaxy Zoo: Knowledge Transfer Using Rotationally Invariant Self-Organising Maps
T. J. Galvin, M. Huynh, R. P. Norris +7
With the advent of large scale surveys the manual analysis and classification of individual radio source morphologies is rendered impossible as existing approaches do not scale. Th…