> Is it required that an algorithm, which is implemented in Scikit-Learn, scales
> well wrt n_samples? 

The requirement is 'be actually useful', which is something that is a bit
hard to judge :).

I think that K-medoids is bordeline on this requirement, probably on the
right side of the border. I would tend to say that if the code clean and
reasonnably short (that last requirement is important), it comes with
good tests, examples and documentation, it should be possible to merge it
in.

Sorry, we are indeed being picky. It's a struggle to find the right
feature set to keep the package maintainable while providing great value
to our users.

Gaël

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