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https://issues.apache.org/jira/browse/SPARK-2966?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Yu Ishikawa updated SPARK-2966:
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Summary: Add an approximation algorithm for hierarchical clustering to
MLlib (was: Add an approximation algorithm for hierarchical clustering
algorithm to MLlib)
> Add an approximation algorithm for hierarchical clustering to MLlib
> -------------------------------------------------------------------
>
> Key: SPARK-2966
> URL: https://issues.apache.org/jira/browse/SPARK-2966
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: Yu Ishikawa
> Priority: Minor
>
> A hierarchical clustering algorithm is a useful unsupervised learning method.
> Koga. et al. proposed highly scalable hierarchical clustering altgorithm in
> (1).
> I would like to implement this method.
> I suggest adding an approximate hierarchical clustering algorithm to MLlib.
> I'd like this to be assigned to me.
> h3. Reference
> # Fast agglomerative hierarchical clustering algorithm using
> Locality-Sensitive Hashing
> http://dl.acm.org/citation.cfm?id=1266811
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