Github user imatiach-msft commented on a diff in the pull request: https://github.com/apache/spark/pull/16661#discussion_r97352845 --- Diff: mllib/src/main/scala/org/apache/spark/mllib/clustering/GaussianMixture.scala --- @@ -272,6 +277,10 @@ class GaussianMixture private ( } private[clustering] object GaussianMixture { + + /** Limit number of features such that numFeatures^2^ < Integer.MaxValue */ + private[clustering] val MAX_NUM_FEATURES = 46000 --- End diff -- it looks like the constant can be shared between the two clustering algorithms - I would recommend using the mllib one for now.
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