GitHub user WeichenXu123 opened a pull request:
https://github.com/apache/spark/pull/14628
[SPARK-17033][Follow-up][ML][MLLib] Improve kmean aggregate to treeAggregate
## What changes were proposed in this pull request?
The kmean use `aggregate` to compute points cost. As the data RDD is huge
so it is better to use `treeAggregate`.
## How was this patch tested?
Existing test.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/WeichenXu123/spark improve_kmean_aggregate
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/14628.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #14628
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commit 3edc7e0b9bed770a595f54c83f2e7a4195319a12
Author: WeichenXu <weichenxu...@outlook.com>
Date: 2016-08-12T08:20:53Z
update kmean aggregate to treeAggregate
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