k-Means

This node outputs the cluster centers for a predefined number of clusters (no dynamic number of clusters). K-means performs a crisp clustering that assigns a data vector to exactly one cluster. The algorithm terminates when the cluster assignments do not change anymore. The clustering algorithm uses the Euclidean distance on the selected attributes. The data is not normalized by the node (if required, you should consider to use the "Normalizer" as a preprocessing step).

Options

Column selection
The numerical columns to be used for clustering.
Number of clusters
The number of clusters (cluster centers) to be created.
Centroid initialization
Determine how the initial centroids (cluster centers) are chosen.
  • Random initialization: Initializes the centroids with random rows of the input table. Checking the Use static random seed it is possible to get reproducible results.
  • First k rows: Initializes the centroids using the first rows of the input table.
Use static random seed
When checked, uses the provided static seed for reproducible random centroid initialization.
Seed value
The seed value for random centroid initialization.
New
Generate a new random seed value.
Max number of iterations
The maximum number of iterations after which the algorithm terminates if it hasn't found a stable solution before.
Enable Hilite Mapping
If enabled, the hiliting of a cluster row (2nd output) will hilite all rows of this cluster in the input table and the 1st output table. Depending on the number of rows, enabling this feature might consume a lot of memory.

Input Ports

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Input to clustering. All numerical values and only these are considered for clustering.

Output Ports

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The input data labeled with the cluster they are contained in.
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The created clusters.
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PMML cluster model.

Popular Predecessors

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Popular Successors

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Views

Cluster View
Displays the cluster prototypes in a tree-like structure, with each node containing the coordinates of the cluster center.

Workflows

Links

Developers

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Installation

To use this node in KNIME, install the extension KNIME Base nodes from the below update site following our NodePit Product and Node Installation Guide:

v5.9

A zipped version of the software site can be downloaded here.

Plugin provider: KNIME AG, Zurich, Switzerland
Plugin version: 5.9.0.v202511140634
On NodePit since: 2025-12-11
Last update: 2026-01-13
Tags: StreamableModern UI
KNIME versions: Since v5.9

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