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

摘要

We introduce a hybrid approach to solar flare prediction, whereby asupervised regularization method is used to realize feature importance and anunsupervised clustering method is used to realize the binary flare/no-flaredecision. The approach is validated against NOAA SWPC data.