[jira] [Comment Edited] (SPARK-3439) Add Canopy Clustering Algorithm

["Muhammad-Ali A'rabi (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-3439?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14282460#comment-14282460 ] 

Muhammad-Ali A'rabi edited comment on SPARK-3439 at 1/19/15 12:32 PM:
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We are using k-means with canopy in our project (using mahout), and we want to switch to spark. So I am implementing canopy clustering algorithm for spark.


was (Author: angellandros):
We are using k-means with canopy in out project (using mahout), and want to switch to spark. So I am implementing canopy clustering algorithm for spark.

> 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
>            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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