| Summary: | This repository provides an"SVM_binary_classification" Jupyter notebook and different data folders fortraining and generalization in a binary classification task using a combination ofsupport vector classifier and Zernike moments. Using a python script in the jupyter notebook and a Zernike momentfile inside eachfolder, one can classify generalizationimages in any two classes among eruption, no-eruption, and non-explosive small events (NESE). It is notable that, the SVM needs to be trained initiallyusing the Zernike moments inside the training data folders. There is also spatial and temporal information on NESEs in December 2013, December 2014, and January 2015. reported in excel files.
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