Hub
Pricing About
ComponentComponent

Cluster Visualization

Y
Draft Latest edits on 
Dec 12, 2021 1:41 PM
Drag & drop
Like
Use or download
Performs K-Means Clustering, maps clusters into 2d-latent space, visualizes the clusters and evaluates the model performance using Silhouette Scoring.

Component details

Input ports
  1. Type: Table
    data
    Data
  2. Type: Flow Variable
    n_clusters
    Number of clusters
  3. Type: Flow Variable
    max_iter
    Maximum number of iterations in K-Means Clustering

Used extensions & nodes

Created with KNIME Analytics Platform version 4.5.0 Note: Not all extensions may be displayed.
  • Go to item
    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime
  • Go to item
    KNIME JavaScript ViewsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.5.0

    knime

This component does not have nodes, extensions, nested components and related workflows

Legal

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

KNIME
Open for Innovation

KNIME AG
Talacker 50
8001 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • Courses + Certification
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more about KNIME Business Hub
© 2025 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Data Processing Agreement
  • Credits