Techniques for Dimensionality Reduction

This workflow shows 7 methods for dimensionality reduction:
1. High ratio of missing values
2. Low variance
3. High correlation with other data columns
4. PCA
5. Tree ensemble based
6. Backward Elimination
7. Forward Construction

Techniques for Dimensionality Reduction

 

Resources

EXAMPLES Server: 04_Analytics/01_Preprocessing/02_Techniques_for_Dimensionality_Reduction04_Analytics/01_Preprocessing/02_Techniques_for_Dimensionality_Reduction*
Download a zip-archive

 

 


* Find more about the Examples Server here.
The link will open the workflow directly in KNIME Analytics Platform (requirements: Windows; KNIME Analytics Platform must be installed with the Installer version 3.2.0 or higher). In other cases, please use the link to a zip-archive or open the provided path manually