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Solar activity classification based on Mg II spectra: Towards classification on compressed data

Ivanov, S.; Tsizh, M.; Ullmann, D. +2 more

Although large volumes of solar data are available for investigation and study, the vast majority of these data remain unlabeled and are therefore not amenable to modern supervised machine learning methods. Having a way to accurately and automatically classify spectra into categories related to the degree of solar activity is highly desirable and …