UWW KMeans Clustering

This node performs k-means clustering algorithm on numerical data. It evaluates multiple values of k and provides WCSS (elbow) and silhouette scores to help determine the optimal number of clusters.

Options

Minimum k
The minimum number of clusters to evaluate.
Maximum k
The maximum number of clusters to evaluate.
Solution k
The number of clusters to use for the final output.

Input Ports

Icon
Table containing numerical data to cluster

Output Ports

Icon
Input data with cluster assignments
Icon
Within-cluster sum of squares for each k
Icon
Average silhouette scores for each k
Icon
Cluster centroids for each k value

Popular Predecessors

  • No recommendations found

Popular Successors

  • No recommendations found

Views

This node has no views

Workflows

  • No workflows found

Links

Developers

You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.

Installation

To use this node in KNIME, install the extension K-Means Tuner from the below update site following our NodePit Product and Node Installation Guide:

v5.9
Plugin provider: UWW ITSCM
Plugin version: 1.0.0.202512091306
On NodePit since: 2025-12-11
Last update: 2025-12-11
KNIME versions: Since v5.9

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

Try NodePit Runner!