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

This paper explores the analytical potential of utilizing UMAP's internal k-nearest-neighbor graph to analyze high-dimensional data before projection distortion occurs.

Firefly links to the original publisher. The summary above is AI-generated for orientation and may differ from the source. The “current rank score” decays over time so newer significant stories surface first.