Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/10610#discussion_r51315914
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/KMeans.scala ---
@@ -482,12 +482,15 @@ object KMeans {
/**
* Trains a k-means model using the given set of parameters.
*
- * @param data training points stored as `RDD[Vector]`
- * @param k number of clusters
- * @param maxIterations max number of iterations
- * @param runs number of parallel runs, defaults to 1. The best model is
returned.
- * @param initializationMode initialization model, either "random" or
"k-means||" (default).
- * @param seed random seed value for cluster initialization
+ * @param data Train with a `RDD[Vector]` of data points.
--- End diff --
Sounds good.
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