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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2018/01/21 14:52:00 UTC

[jira] [Assigned] (SPARK-22119) Add cosine distance to KMeans

     [ https://issues.apache.org/jira/browse/SPARK-22119?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen reassigned SPARK-22119:
---------------------------------

    Assignee: Marco Gaido

> 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
>            Assignee: Marco Gaido
>            Priority: Minor
>             Fix For: 2.4.0
>
>
> 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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