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Hierarchical_​Clustering

Hierarchical Clustering

This workflow clusters the iris dataset using Hierarchical Clustering

Clustering the Iris dataset using Hierarchical Clustering Z-scorenormalizationInteractive view toselect the tresholdGroup intothree clusterscomplete linkageDistance matrix forhierarchical clusteringeuclidean distancevisualizedendrogramLoad IrisData Normalizer HierarchicalCluster Assigner Hierarchical Clustering(DistMatrix) Distance MatrixCalculate HierarchicalCluster View Table Reader Scatter Plot Color Manager Clustering the Iris dataset using Hierarchical Clustering Z-scorenormalizationInteractive view toselect the tresholdGroup intothree clusterscomplete linkageDistance matrix forhierarchical clusteringeuclidean distancevisualizedendrogramLoad IrisData Normalizer HierarchicalCluster Assigner Hierarchical Clustering(DistMatrix) Distance MatrixCalculate HierarchicalCluster View Table Reader Scatter Plot Color Manager

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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: 2023-01-06
Last update: 2024-04-27
Created with KNIME version: v4.7.0
Tags: clusteringmachine learningdata mininghierarchical clusteringTheGuideBookGIDS

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