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01_​Performing_​a_​k-Means_​Clustering

Performing a k-Means clustering

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

Performing a k-Means clustering This workflow shows how to clusterthe iris dataset with the k-Means node. Visualization Search for three clusters perform clusteringassign colorsto classesassign shapeto clusterscreate scatterplotsplit dataassign clusterto new data pointsload data k-Means Color Manager Shape Manager Scatter Plot(legacy) Partitioning Cluster Assigner Table Reader(deprecated) Performing a k-Means clustering This workflow shows how to clusterthe iris dataset with the k-Means node. Visualization Search for three clusters perform clusteringassign colorsto classesassign shapeto clusterscreate scatterplotsplit dataassign clusterto new data pointsload data k-Means Color Manager Shape Manager Scatter Plot(legacy) Partitioning Cluster Assigner Table Reader(deprecated)

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

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Created by: Adrian Nembach
Created at: 2016-05-19
On NodePit since: 2024-06-05
Last update: 2024-09-06
Created with KNIME version: v5.2.5
Tags: clusteringk-Meansmachine learningdata mining

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