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https://issues.apache.org/jira/browse/SPARK-5226?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15087301#comment-15087301
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mustafa elbehery commented on SPARK-5226:
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I have tried to use Aliaksei's implementation on 500MB of GPS Trajectories. The
algorithm never finished. Though, his implementation worked very well on the
provided sample data.
When I have created a scatter plot for both datasets; sample data &&
trajectories data, I found out that his data's distribution was Gaussian, while
mine was very skewed. Moreover, this implementation has a bottleneck, because
basically all the partition are merged together in a reduce step, which leads
turns the algorithm into Serial again !!!..
I have commented below a better implementation to avoid this bottleneck, hope
it would be more helpful.
> Add DBSCAN Clustering Algorithm to MLlib
> ----------------------------------------
>
> Key: SPARK-5226
> URL: https://issues.apache.org/jira/browse/SPARK-5226
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: Muhammad-Ali A'rabi
> Priority: Minor
> Labels: DBSCAN, clustering
>
> MLlib is all k-means now, and I think we should add some new clustering
> algorithms to it. First candidate is DBSCAN as I think.
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