Data-Driven Classification of Coronal Hole and Streamer Belt Solar Wind

@article{Bloch2020DataDrivenCO,
  title={Data-Driven Classification of Coronal Hole and Streamer Belt Solar Wind},
  author={T. Bloch and C. Watt and M. Owens and Leland McInnes and A. Macneil},
  journal={Solar Physics},
  year={2020},
  volume={295},
  pages={1-29}
}
We present two new solar wind origin classification schemes developed independently using unsupervised machine learning. The first scheme aims to classify solar wind into three types: coronal-hole wind, streamer-belt wind, and ‘unclassified’ which does not fit into either of the previous two categories. The second scheme independently derives three clusters from the data; the coronal-hole and streamer-belt winds, and a differing unclassified cluster. The classification schemes are created using… Expand
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