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the pyspark ml library does not provide any clustering methods for K-Medoids. So my question is, how can one apply K-Medoids in a pyspark context?

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There is a k-medoids clustering for PySpark at spark-packages.org/package/tdebatty/spark-kmedoids and the source code is github.com/tdebatty/spark-kmedoids.

It can be installed with:

> $SPARK_HOME/bin/spark-shell --packages tdebatty:spark-kmedoids:0.1.2
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  • $\begingroup$ Hmm. There is no documentation and outdated gitrepo. Sure that it can handle Python? $\endgroup$
    – EchoCache
    Feb 2, 2020 at 21:00

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