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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-22119) Add cosine distance to KMeans
Date Mon, 25 Sep 2017 16:37:01 GMT

    [ https://issues.apache.org/jira/browse/SPARK-22119?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16179279#comment-16179279
] 

Apache Spark commented on SPARK-22119:
--------------------------------------

User 'mgaido91' has created a pull request for this issue:
https://github.com/apache/spark/pull/19340

> Add cosine distance to KMeans
> -----------------------------
>
>                 Key: SPARK-22119
>                 URL: https://issues.apache.org/jira/browse/SPARK-22119
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML, MLlib
>    Affects Versions: 2.2.0
>            Reporter: Marco Gaido
>            Priority: Minor
>
> Currently, KMeans assumes the only possible distance measure to be used is the Euclidean.
> In some use cases, eg. text mining, other distance measures like the cosine distance
are widely used. Thus, for such use cases, it would be good to support multiple distance measures.
> This ticket is to support the cosine distance measure on KMeans. Later, other algorithms
can be extended to support several distance measures and other distance measures can be added.



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