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https://issues.apache.org/jira/browse/SPARK-34043?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17287895#comment-17287895
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Harsh Vardhan verma commented on SPARK-34043:
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This is an important feature and I am looking forward to use it. Please share
if there are any plans to bring this anytime soon. Thanks.
> Linear Discriminant Analysis for dimensionality reduction
> ---------------------------------------------------------
>
> Key: SPARK-34043
> URL: https://issues.apache.org/jira/browse/SPARK-34043
> Project: Spark
> Issue Type: New Feature
> Components: ML
> Affects Versions: 3.0.1
> Reporter: Jose Llorens
> Priority: Minor
>
> The idea is to implement Linear discriminant analysis for dimensionality
> reduction. The algorithm is similar to PCA but it uses supervised
> classification to maximize class separation. The API would be similar to the
> PCA one.
>
> Other frameworks implement LDA, like sklearn
> ([https://scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysis.html)|http://example.com/]
>
> LDA is a well-known algorithm with related literature, for example:
> Izenman, Alan Julian. "Linear discriminant analysis." _Modern multivariate
> statistical techniques_. Springer, New York, NY, 2013. 237-280.
>
> I would like to work on this issue, please let me know if it is interesting
> to add this feature to spark.
>
> Thank you in advance.
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