GitHub user yu-iskw opened a pull request:
https://github.com/apache/spark/pull/5267
[SPARK-6517][mllib] Implement the Algorithm of Hierarchical Clustering
I implemented a hierarchical clustering algorithm again. This PR doesn't
include examples, documentation and spark.ml APIs. I am going to send another
PRs later.
https://issues.apache.org/jira/browse/SPARK-6517
- This implementation based on a bi-sectiong K-means clustering.
- It derives from the @freeman-lab 's implementation
- The basic idea is not changed from the previous version. (#2906)
- However, It is 1000x faster than the previous version through
parallel processing.
Thank you for your great cooperation, RJ Nowling(@rnowling), Jeremy
Freeman(@freeman-lab), Xiangrui Meng(@mengxr) and Sean Owen(@srowen).
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/yu-iskw/spark new-hierarchical-clustering
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/5267.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 #5267
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commit af0f65bb4726315c076b827d37276616c5218010
Author: Yu ISHIKAWA <[email protected]>
Date: 2015-03-30T11:29:12Z
[SPARK-6517][mllib] Implement the Algorithm of Hierarchical Clustering
Thank you for your great cooperation, RJ Nowling(@rnowling), Jeremy
Freeman(@freeman-lab), Xiangrui Meng(@mengxr) and Sean Owen(@srowen).
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