Icon

Control_​color_​manager_​palette

Performing a k-Means clustering

This workflow shows how to perform a clustering of the iris dataset using the k-Means node.

perform clusteringassign colorsto classesassign shapeto clusterssplit dataNode 9Node 10Node 11k-Means Color Manager Shape Manager Partitioning CSV Reader Scatter Plot(JFreeChart) CSV Writer perform clusteringassign colorsto classesassign shapeto clusterssplit dataNode 9Node 10Node 11k-Means Color Manager Shape Manager Partitioning CSV Reader Scatter Plot(JFreeChart) CSV Writer

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: Adrian Nembach
Created at: 2016-05-19
On NodePit since: 2022-02-06
Last update: 2024-11-21
Created with KNIME version: v4.2.0
Tags: clustering k-Means machine learning data mining

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!