Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15450
I don't feel strongly either way, but I don't like the potential of this:
````scala
model.getK
scala> 3
model.clusterCenters.length
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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