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I think the conclust R package offers a constrained k-means algorithm but from what I see the parameter setting of the "ckmeans" function differs compared to the Python implementation which allows to use a "size_min" and "size_max" parameter.
This requires to go through papers and it's kind of time consuming. Feel free to make a PR if you intend to create the code base.
It would be nice to control the minimum cluster size.
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