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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:35:31 UTC

[jira] [Resolved] (SPARK-11465) Support multiple eigenvectors in power iteration clustering

     [ https://issues.apache.org/jira/browse/SPARK-11465?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-11465.
----------------------------------
    Resolution: Incomplete

> Support multiple eigenvectors in power iteration clustering
> -----------------------------------------------------------
>
>                 Key: SPARK-11465
>                 URL: https://issues.apache.org/jira/browse/SPARK-11465
>             Project: Spark
>          Issue Type: New Feature
>          Components: MLlib
>            Reporter: Xiangrui Meng
>            Priority: Major
>              Labels: bulk-closed
>
> I created this JIRA to collect use cases of using more than 1 (pseudo)-eigenvectors in power iteration clustering, in order to decide whether we want to add this feature. Some related work:
> * Deflation-based power iteration clustering: http://www.cs.ucsb.edu/~veronika/MAE/deflation-PIC.pdf
> * Spectral Clustering via the Power Method -- Provably: http://arxiv.org/abs/1311.2854
> If you are interested in this feature, please describe your use cases in comments and why using a single eigenvector is not sufficient.



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