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https://issues.apache.org/jira/browse/SPARK-15784?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15623661#comment-15623661
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Seth Hendrickson commented on SPARK-15784:
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This seems like it fits the framework of a feature transformer. We could
generate a real-valued feature column using PIC algorithm where the values are
just the components of the pseudo-eigenvector. Alternatively we could pipeline
a KMeans clustering on the end, but I think it makes more sense to let users do
that themselves - but that's up for debate.
> Add Power Iteration Clustering to spark.ml
> ------------------------------------------
>
> Key: SPARK-15784
> URL: https://issues.apache.org/jira/browse/SPARK-15784
> Project: Spark
> Issue Type: New Feature
> Components: ML
> Reporter: Xinh Huynh
>
> Adding this algorithm is required as part of SPARK-4591: Algorithm/model
> parity for spark.ml. The review JIRA for clustering is SPARK-14380.
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