This workflow mixes standard KNIME nodes with the Spark nodes to find the optimal parameters for a k-means clustering using the hillclimbing approach. Other optimization strategies are available - check the Parameter Optimization Loop Start Node description for more.
The workflow makes use of the Create Local Big Data Environment node to create a Spark context. You can swap this node out for a Create Spark Context (Livy) node to connect to a remote cluster.
To use this workflow in KNIME, download it from the below URL and open it in KNIME:Download Workflow
Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to email@example.com, follow @NodePit on Twitter, or chat on Gitter!
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.