Hub
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
  • KNIME Hub
  • knime
  • Spaces
  • Examples
  • 08_Other_Analytics_Types
  • 05_Network_Mining
  • 06_Clustering_Networks_based_on_Distance_Matrix
WorkflowWorkflow

Clustering Networks based on Adjacency Matrix

Network clusturing

Last edited: 

Drag & drop
Like
Download workflow
Copy short link
Workflow preview
This workflow clusters nodes of a given network by extracting node adjacency matrix first and use that to generate a distance matrix which is used to preform hierarchical clustering. The resulting clusters are added into the network as new node partitions. Once all cluster members are assigned to the corresponding cluster partition a partition graph is generated which shows the connections between partitions and the size of each partition.

External resources

  • Network Mining

Used extensions & nodes

Created with KNIME Analytics Platform version 4.1.0
  • Go to item
    KNIME Core Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • Go to item
    KNIME Distance Matrix Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • Go to item
    KNIME Network Mining Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  1. Go to item
  2. Go to item
  3. Go to item
  4. Go to item
  5. Go to item
  6. Go to item

Legal

By using or downloading the workflow, you agree to our terms and conditions.

Discussion
Discussions are currently not available, please try again later.

KNIME
Open for Innovation

KNIME AG
Hardturmstrasse 66
8005 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • E-Learning course
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • KNIME Open Source Story
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more on KNIME Server
© 2022 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits