7.3.3 Feature Embedding
The Feature Embedding section allows users to visualize embedded features using UMAP, PCA or TSNE algorithms, generating 2D comparison plots and enabling analysis of clustering behavior across different data segments.
- Open the Explore Model section and click Feature Embedding.
- Change to a different Analysis Type and
see how each clustering algorithm works on data segments. The following examples
show the plots for the current model.
Figure 7-19. UMAP 
Figure 7-20. PCA 
Figure 7-21. TSNE 