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01_​HierarchicalClustering (1)

Hierarchical Clustering

This workflow clusters the iris dataset using Hierarchical Clustering

Clustering the iris dataset using hierarchical clustering Hierarchical Clustering Z-scorenormalizationInteractive view toselect the tresholdGroup intothree clusterscomplete linkageDistance matrix forhierarchical clusteringeuclidean distancevisualizedendrogramcomplete linkageeuclidean distanceLoadFlourishing DatasetOutput the featuresin each otherRecode the categorical variables into classes Normalizer HierarchicalCluster Assigner Hierarchical Clustering(DistMatrix) Distance MatrixCalculate HierarchicalCluster View HierarchicalClustering Excel Reader Bar Chart Number To String Clustering the iris dataset using hierarchical clustering Hierarchical Clustering Z-scorenormalizationInteractive view toselect the tresholdGroup intothree clusterscomplete linkageDistance matrix forhierarchical clusteringeuclidean distancevisualizedendrogramcomplete linkageeuclidean distanceLoadFlourishing DatasetOutput the featuresin each otherRecode the categorical variables into classesNormalizer HierarchicalCluster Assigner Hierarchical Clustering(DistMatrix) Distance MatrixCalculate HierarchicalCluster View HierarchicalClustering Excel Reader Bar Chart Number To String

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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: 2023-02-11
Last update: 2024-04-26
Created with KNIME version: v4.7.1
Tags: clusteringmachine learningdata mininghierarchical clusteringTheGuideBookGIDS

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