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01_​HierarchicalClustering WITH HIER.CLUST.HEATMAP

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 distanceLoad irisdata HierarchicalClustering and Heatmap Normalizer HierarchicalCluster Assigner Hierarchical Clustering(DistMatrix) Distance MatrixCalculate HierarchicalCluster View HierarchicalClustering Table Reader Clustering the iris dataset using hierarchical clustering Hierarchical Clustering Z-scorenormalizationInteractive view toselect the tresholdGroup intothree clusterscomplete linkageDistance matrix forhierarchical clusteringeuclidean distancevisualizedendrogramcomplete linkageeuclidean distanceLoad irisdata HierarchicalClustering and Heatmap Normalizer HierarchicalCluster Assigner Hierarchical Clustering(DistMatrix) Distance MatrixCalculate HierarchicalCluster View HierarchicalClustering Table Reader

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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: 2024-04-23
Last update: 2024-11-17
Created with KNIME version: v5.2.3
Tags: clusteringmachine learningdata mininghierarchical clusteringTheGuideBookGIDS

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