Dimensionality Reduction Meets Network Science: Sensemaking on UMAP’s kNN Graph

Apple engineers have published a technical analysis highlighting the importance of the k-nearest-neighbor graph generated during the UMAP dimensionality reduction process. While researchers typically focus on the final low-dimensional visualization, this study demonstrates that analyzing the internal graph structure offers more accurate insights into high-dimensional data relationships.