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