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
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