Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/11124#issuecomment-183131188
I checked R's output. It seems that `summary` on a k-means model doesn't
provide much information:
~~~>
summary(model)
Length Class Mode
cluster 3 -none- numeric
centers 2 -none- numeric
totss 1 -none- numeric
withinss 2 -none- numeric
tot.withinss 1 -none- numeric
betweenss 1 -none- numeric
size 2 -none- numeric
iter 1 -none- numeric
ifault 1 -none- numeric
~~~
It seems like `summary` is not implemented for k-means model. So I would
just implement `model$centers` and `fitted(model, method=c("classes"))`. Note
that we don't provide `cluster` (cluster assignments) and `size` (cluster
sizes) in Scala.
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