Github user derrickburns commented on the pull request: https://github.com/apache/spark/pull/2634#issuecomment-70443890 @mengxr I have implemented several variants of Kullback-Leibler divergence in my separate GitHub repository <https://github.com/derrickburns/generalized-kmeans-clustering>. These variants are more efficient that the standard KL-divergence which is defined on R+ ^ n because they take advantage of extra knowledge of the domain. I have used these variants with much success (i.e. much faster running time) in my large scale clustering runs. On Sat, Jan 17, 2015 at 7:02 PM, UCB AMPLab <notificati...@github.com> wrote: > Test FAILed. > Refer to this link for build results (access rights to CI server needed): > https://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/25711/ > Test FAILed. > > â > Reply to this email directly or view it on GitHub > <https://github.com/apache/spark/pull/2634#issuecomment-70394598>. >
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