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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:14:46 UTC

[jira] [Resolved] (SPARK-17459) Add Linear Discriminant to dimensionality reduction algorithms

     [ https://issues.apache.org/jira/browse/SPARK-17459?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-17459.
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    Resolution: Incomplete

> Add Linear Discriminant to dimensionality reduction algorithms
> --------------------------------------------------------------
>
>                 Key: SPARK-17459
>                 URL: https://issues.apache.org/jira/browse/SPARK-17459
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML
>            Reporter: Joshua Howard
>            Priority: Minor
>              Labels: bulk-closed
>
> The goal is to add linear discriminant analysis as a method of dimensionality reduction. The algorithm and code are very similar to PCA, but instead project the data set onto vectors that provide class separation. LDA is a more effective alternative to PCA in terms of preprocessing for classification algorithms.



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