Github user sethah commented on the issue:
    I don't feel strongly either way, but I don't like the potential of this:
    scala> 3
    scala> 1
    Should we consider setting the model `k` to the number of clusters at the 
end of training? Or is there some utility to knowing that the number of 
clusters was less than the requested `k`?

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