hi all,
i think it would be good to describe how to use the output from ward_tree,
especially for hierarchical clustering (currently it appears non-obvious).
for example, how do i get the tree height?
i saw there was an open pr on refactoring that enterprise, but it appears
to be abandoned.
for example, having a utility function that returned the cluster labels at
a given tree height would be useful. i'm now checking the scipy hierachical
stuff to see if it makes sense for that package to simply use what's
already in scipy. would it make sense to simply wrap the scipy routines
within the context of the sklearn api?
cheers,
satra
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