Researchers at Apple found that UMAP's internal k-nearest-neighbor graph contains more accurate manifold data than its final 2D projection. They applied PageRank and k-core decomposition to this graph to identify representative points and dense clusters. This approach reduces projection distortion. Practitioners can now extract deeper structural insights before flattening high-dimensional datasets.