A hybrid supervised/unsupervised machine learning approach to solar flare prediction

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Jun 21, 2017
Federico Benvenuto, Michele Piana, Cristina Campi, Anna Maria Massone
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We introduce a hybrid approach to solar flare prediction, whereby a supervised regularization method is used to realize feature importance and an unsupervised clustering method is used to realize the binary flare/no-flare decision. The approach is validated against NOAA SWPC data.

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