Icon

01_​HierarchicalClustering

Hierarchical Clustering

This workflow clusters the iris dataset using Hierarchical Clustering

Clustering the iris dataset using hierarchical clustering
Hierarchical Clustering
Load iris data
Table Reader
HTTP(S) Connector
visualize dendrogram
Hierarchical Cluster View
complete linkage euclidean distance
Hierarchical Clustering
Get Url
Group into three clusters complete linkage
Hierarchical Clustering (DistMatrix)
HTTPS Connection (legacy)
Z-score normalization
Normalizer
Distance matrix for hierarchical clustering euclidean distance
Distance Matrix Calculate
GET Request
Interactive view to select the treshold
Hierarchical Cluster Assigner

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: Adrian Nembach
Created at: 2016-05-19
On NodePit since: 2025-07-03
Last update: 2026-11-13
Created with KNIME version: v5.3.3
Tags: clusteringmachine learningdata mininghierarchical clusteringTheGuideBookGIDS

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!