A machine learning pipeline using clustering and CNNs classifies HI galaxy profiles, with a 2D image representation reported to improve accuracy by 13% over 1D methods.
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Classification of HI Galaxy Profiles Using Unsupervised Learning and Convolutional Neural Networks: A Comparative Analysis and Methodological Cases of Studies
A machine learning pipeline using clustering and CNNs classifies HI galaxy profiles, with a 2D image representation reported to improve accuracy by 13% over 1D methods.