Comments (2)
That fix is not correct - the method does need to switch between a "flattening" and a non-flattening strategy. The HDBSCAN logic is based on a rather complex notion of cluster stability; and there could of course be a bug in how this value is computed. But from a quick look, this is supposed to yield a flat clustering then. Because of this notion of cluster stability, I'm not sure if such a hierarchical result is well defined with the HDBSCAN extractor (maybe the clustering.hierarchical.extraction.SimplifiedHierarchyExtraction
is more of what you were looking for?)
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Thanks for that. It seems like extracting what I need will require a little more consideration. I have used the Python HDBSCAN code and that does prune the tree to produce reasonable clusters but still provide a hierarchy. Perhaps I'll try to compare the code, however my knowledge of Python is scant.
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Related Issues (20)
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