[ https://issues.apache.org/jira/browse/SPARK-2966?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Yu Ishikawa updated SPARK-2966: ------------------------------- 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 -- This message was sent by Atlassian JIRA (v6.2#6252) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org