In my recent PR <https://github.com/scikit-learn/scikit-learn/pull/1830>,
I've implemented the MSTCluster algorithm.
This algorithm finds a minimum spanning tree, then cuts any edge higher
than a given threshold.
This is equivalent to the single linkage clustering. Olivier and I are
talking about which name would be best to use. The leading option at the
moment is SingleLinkageClustering.
What do people think about this? Any better suggesttions?
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