Dimensionality Reduction

• Locally linear embedding (LLE)
• Generalizable Spectral Embedding with an Application to UMAP
• t-SNE Exaggerates Clusters, Provably
• Biologists, stop putting UMAP plots in your papers
• Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
• Why you should not rely on t-SNE, UMAP or TriMAP
• PaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure
• UMAP Zoo: 3D Wavefront files projected into 2D with UMAP and THREE.js
• PyMDE: Minimum-distortion embedding with PyTorch
• dtour: A tour-de-vis through high-dimensional data
• datatour_pkg: Watch your data in its native dimension