http://arxiv.org/abs/1706.07103
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.
F. Benvenuto, M. Piana, C. Campi, et. al.
Fri, 23 Jun 17
42/48
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