dailyai.report

Apple researchers found that UMAP's internal k-nearest-neighbor graph contains more accurate manifold data than its final 2D projection. Applying PageRank and k-core decomposition to this graph identifies representative points and dense clusters. This approach reduces the distortion common in dimensionality reduction. Practitioners can now extract deeper structural insights before projecting data.