Hub
Pricing About
WorkflowWorkflow

02_PCA_t-SNE

TheGuideBookScatter plotPCAPrincipal Component AnalysisT-SNE
+2
knime profile image
VersionKAP v5.4Latest, created on 
Mar 6, 2025 9:05 AM
Drag & drop
Like
Download workflow
Workflow preview
Dimensionality Reduction with PCA and t-SNE

This workflow applyes two dimensionality reduction techniques:
-PCA
-t-SNE
to reduce the dataset dimensions from three to two features.
Data points are then displayed in a scatter plot.
Loading deploymentsLoading ad hoc jobs

Used extensions & nodes

Created with KNIME Analytics Platform version 5.4.0
  • Go to item
    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.4.0

    knime profile image
    knime
  • Go to item
    KNIME Statistics Nodes (Labs)Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.4.0

    knime profile image
    knime
  • Go to item
    KNIME ViewsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 5.4.0

    knime profile image
    knime

Legal

By using or downloading the workflow, 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