Hi Jao, Sorry to pop up this old thread. I am have the same problem like you did. I want to know if you have figured out how to improve k-means on Spark.
I am using Spark 1.2.0. My data set is about 270k vectors, each has about 350 dimensions. If I set k=500, the job takes about 3hrs on my cluster. The cluster has 7 executors, each has 8 cores... If I set k=5000 which is the required value for my task, the job goes on forever... Thanks, David -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Why-KMeans-with-mllib-is-so-slow-tp20480p22273.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
