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differentiating spatial clusterers
raising for discussion: is it worth being explicit in the API about clustering algos that strictly regionalize (e.g. maxp, skater) vs those that blend geographic and attribute dissimilarities (e.g. spenc, spatial_ward, etc) to get a spatially-encouraged solution? Might we want to put them in separate submodules or something to make it more explicit to the user?
Let's implement the individual modules first, then think if it makes sense to nest them in different layers across the spatially encouraged vs. explicit dimension.
@knaaptime @sjsrey Is this still under consideration / discussion? If so, I am going to move it over into Discussions.
or close, if you prefer. I dont have a strong opinion about if/how to reorganize
OK, Let's go ahead and close for now. We can reopen in the future if the come up again.