[jira] [Commented] (SPARK-8519) Blockify distance computation in k-means

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-8519?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15105378#comment-15105378 ] 

Apache Spark commented on SPARK-8519:
-------------------------------------

User 'yanboliang' has created a pull request for this issue:
https://github.com/apache/spark/pull/10806

> Blockify distance computation in k-means
> ----------------------------------------
>
>                 Key: SPARK-8519
>                 URL: https://issues.apache.org/jira/browse/SPARK-8519
>             Project: Spark
>          Issue Type: Improvement
>          Components: MLlib
>    Affects Versions: 1.4.0
>            Reporter: Xiangrui Meng
>            Assignee: Apache Spark
>              Labels: advanced
>
> The performance of pairwise distance computation in k-means can benefit from BLAS Level 3 matrix-matrix multiplications. It requires we update the implementation to use blocks. Even for sparse data, we might be able to see some performance gain.



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