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

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Table containing numerical data to cluster

Output Ports

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

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Links

Developers

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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:

v5.10
Plugin provider: UWW ITSCM
Plugin version: 1.0.0.202602180429
On NodePit since: 2026-02-20
Last update: 2026-02-24
KNIME versions: Since v5.8

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