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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/09/25 16:37:01 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 ]
Apache Spark reassigned SPARK-22119:
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Assignee: Apache Spark
> 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: Apache Spark
> 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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