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| author | Yu ISHIKAWA <yuu.ishikawa@gmail.com> | 2015-11-09 14:56:36 -0800 |
|---|---|---|
| committer | Xiangrui Meng <meng@databricks.com> | 2015-11-09 14:56:36 -0800 |
| commit | 8a2336893a7ff610a6c4629dd567b85078730616 (patch) | |
| tree | d671674126c1a00ea22b19d912c86d17135f9a1d /project/SparkBuild.scala | |
| parent | a3a7c9103e136035d65a5564f9eb0fa04727c4f3 (diff) | |
| download | spark-8a2336893a7ff610a6c4629dd567b85078730616.tar.gz spark-8a2336893a7ff610a6c4629dd567b85078730616.tar.bz2 spark-8a2336893a7ff610a6c4629dd567b85078730616.zip | |
[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).
Author: Yu ISHIKAWA <yuu.ishikawa@gmail.com>
Author: Xiangrui Meng <meng@databricks.com>
Author: Yu ISHIKAWA <yu-iskw@users.noreply.github.com>
Closes #5267 from yu-iskw/new-hierarchical-clustering.
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