Thanks Derrick, when I count the unique terms it is very small. So I added this...
val tfidf_features = lines.flatMap(x => x._2.split(" ").filter(_.length > 2)).distinct().count().toInt val hashingTF = new HashingTF(tfidf_features) -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/KMeans-with-large-clusters-Java-Heap-Space-tp21432p22153.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org