Dimensionality Reduction Meets Network Science: Sensemaking on UMAP's kNN Graph
降维与网络科学相遇:UMAP的kNN图上的意义建构
机构 * Apple(苹果公司)
AI总结 研究探索UMAP内部kNN图的潜力,应用PageRank、k核分解和聚类系数等标准图算法增强数据意义建构,经对MNIST和Fashion MNIST评估,证明这些基于图的分析实用且与专门方法有竞争力或互补。
Comments Accepted to IEEE Workshop on Topology meets Artificial Intelligence (TopoInVis Connect) at IEEE VIS 2026. Code and demo: https://apple.github.io/embedding-atlas/