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03 Analyze Data by Clustering Location Data

BeginnerBeginner SpaceGetting StartedData AnalysisMachine Learning
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Versionv2.0Latest, created on 
May 11, 2026 3:44 PM
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Analyze Data: Clustering of Location Data

In this workflow, we perform a clustering task on location data where we have longitude and latitude information. We use the k-Means algorithm to cluster this data and then visualize the clustering results.

External resources

  • KNIME Self Paced Course
  • KNIME Cheat Sheet: Building a KNIME workflow for beginners
  • KNIME Cheat Sheet: Machine learning with KNIME Analytics Platform
  • YouTube: Clustering
  • YouTube: Training Clustering Algorithms
  • KNIME Blog: Cluster analysis: What it is, types & how to apply the technique without code
  • Webinar: KNIME101: Machine Learning for Beginners with KNIME
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Used extensions & nodes

Created with KNIME Analytics Platform version 5.11.0 Note: Not all extensions may be displayed.
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.11.0

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    knime
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    KNIME Open Street Map IntegrationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.9.0

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    knime
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    KNIME ViewsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.11.0

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    knime

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