Resumo
Due to the harmful effects that high intensity solar flares may cause, several research groups are dedicated to the task of predicting this phenomenon. Given this scenario, the present project applied and compared hierarchical clustering techniques as a preprocessing step to solar flare forecasting, in order to verify whether this approach leads to improvements.

Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.
Copyright (c) 2019 Mirelle Candida Bueno, Guilherme Palermo Coelho