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RJ Nowling commented on SPARK-2966: ----------------------------------- Wonderful! If I can help or when you're ready for reviews, let me know! > 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 -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org