[ https://issues.apache.org/jira/browse/SPARK-3439?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14292688#comment-14292688 ]
Xiangrui Meng commented on SPARK-3439: -------------------------------------- [~angellandros] The public API and the complexity analysis are more important than implementation details. What is the expected input and output of the algorithm and how does it scale? > Add Canopy Clustering Algorithm > ------------------------------- > > Key: SPARK-3439 > URL: https://issues.apache.org/jira/browse/SPARK-3439 > Project: Spark > Issue Type: New Feature > Components: MLlib > Reporter: Yu Ishikawa > Assignee: Muhammad-Ali A'rabi > Priority: Minor > > The canopy clustering algorithm is an unsupervised pre-clustering algorithm. > It is often used as a preprocessing step for the K-means algorithm or the > Hierarchical clustering algorithm. It is intended to speed up clustering > operations on large data sets, where using another algorithm directly may be > impractical due to the size of the data set. -- 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