Github user jkbradley commented on a diff in the pull request:

    https://github.com/apache/spark/pull/21081#discussion_r182216309
  
    --- Diff: mllib/src/main/scala/org/apache/spark/ml/clustering/KMeans.scala 
---
    @@ -90,7 +90,12 @@ private[clustering] trait KMeansParams extends Params 
with HasMaxIter with HasFe
        * @return output schema
        */
       protected def validateAndTransformSchema(schema: StructType): StructType 
= {
    -    SchemaUtils.checkColumnType(schema, $(featuresCol), new VectorUDT)
    +    val typeCandidates = List( new VectorUDT,
    +      new ArrayType(DoubleType, true),
    --- End diff --
    
    Thinking about this, let's actually disallow nullable columns.  KMeans 
won't handle nulls properly.


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