Research18h ago
Apple Researchers Unlock UMAP’s Internal kNN Graph
Standard 2D projections in UMAP often distort high-dimensional data. Researchers at Apple now leverage the internal k-nearest-neighbor graph to apply PageRank and k-core decomposition. This approach identifies representative data points and dense clusters without projection errors. Practitioners can now extract structural insights from the original manifold before dimensionality reduction occurs.