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-autonomously. There have been a few studies that have considered unsupervised methods in order to identify patterns that humans could leverage in an operational setting. Specifically, Nowotarski and Jensen (2013) used self-organizing maps to cluster soundings from near-storm environments and found that self-organizing maps did cluster soundings that lead to tornadogenesis (greater than 70% of the tornadic examples). Another unsupervised machine learning method looked at k -means clustering of 500-hPa heights
-autonomously. There have been a few studies that have considered unsupervised methods in order to identify patterns that humans could leverage in an operational setting. Specifically, Nowotarski and Jensen (2013) used self-organizing maps to cluster soundings from near-storm environments and found that self-organizing maps did cluster soundings that lead to tornadogenesis (greater than 70% of the tornadic examples). Another unsupervised machine learning method looked at k -means clustering of 500-hPa heights
