Yu Ishikawa created SPARK-2966:
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Summary: Add an approximation algorithm for hierarchical
clustering algorithm 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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