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 <[email protected]>
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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