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  8. 03_Clustering03_Clustering
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03_​Clustering

This exercise shows how to perform hierarchical clustering using molecule fingerprints and create an interactive view to pick interesting clusters. Chemical structures were extracted from this publication: https://doi.org/10.1021/acs.jmedchem.9b01658​

Nodes

  • Component Input3 ×
  • Component Output3 ×
  • Row Filter3 ×
  • Tile View (JavaScript)3 ×
  • Color Manager2 ×
  • Column Resorter2 ×
  • Bit Vector Distances1 ×
  • Column Filter1 ×
  • Duplicate Row Filter1 ×
  • Excel Reader1 ×
  • GroupBy1 ×
  • Hierarchical Cluster Assigner (JavaScript)1 ×
  • Hierarchical Clustering (DistMatrix)1 ×
  • Image View1 ×
  • Molecule Type Cast1 ×
  • Parallel Coordinates Plot (JavaScript)1 ×
  • RDKit Canon SMILES1 ×
  • RDKit Descriptor Calculation1 ×
  • RDKit Fingerprint1 ×
  • RDKit To Molecule1 ×
  • Renderer to Image1 ×
  • Table View (JavaScript)1 ×
  • Table Writer1 ×

Extensions

  • FeatureKNIME Base Chemistry Types & Nodes
  • FeatureKNIME Base nodes
  • FeatureKNIME Distance Matrix
  • FeatureKNIME Excel Support
  • FeatureKNIME JavaScript Views
  • Show all 9 modules

Links

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Download

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

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Created by: glandrum
Created at: 2020-05-19
On NodePit since: 2024-10-20
Last update: 2026-01-30
Created with KNIME version: v5.3.2
Tags: Hierarchical ClusteringBit Vector DistancesMolecule DescriptorsInteractive SelectionChemistryLife SciencesEducation

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