arXiv stat.ML
· Papers
Cluster and then Embed: A Modular Approach for Visualization
arXiv:2509.03373v2 Announce Type: replace-cross Abstract: Dimensionality reduction methods such as t-SNE and UMAP are popular methods for visualizing data with a potential (latent) clustered structure. They are known to group data points at the same time as they embed them, resulting in visualizations with well-separat