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A hybrid supervised/unsupervised machine learning approach to solar flare prediction
June 21, 2017 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Federico Benvenuto, Michele Piana, Cristina Campi, Anna Maria Massone
arXiv ID
1706.07103
Category
astro-ph.SR
Cross-listed
cs.LG
Citations
67
Venue
arXiv.org
Last Checked
3 months ago
Abstract
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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