Github user HuJiayin commented on the pull request:
https://github.com/apache/spark/pull/8526#issuecomment-136241091
The fix reduces around 50G RDD based on data size below. The performance is
improved. The user needs more than 8G memory to run the kmeans in Spark1.5
based on this data size. The data size:
Number of cluster: 5
Sample dimensions: 20
Number of samples: 1200000000
Sample per input file: 40000000
K: 10
Converge distance: 0.5
Max iteration: 10
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