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https://issues.apache.org/jira/browse/SPARK-3439?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14292688#comment-14292688
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Xiangrui Meng commented on SPARK-3439:
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[~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.
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