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02_​PCA_​t-SNE

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.

Nodes

Extensions

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Download

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

Download Workflow
Created by: rosy
Created at: 2014-10-01
On NodePit since: 2025-03-08
Last update: 2025-03-08
Created with KNIME version: v5.4.0
Tags: TheGuideBookscatter plotPCAPrincipal Component Analysist-SNEdimensionality reductionGIDS

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