AI RESEARCH
SPORE: Skeleton Propagation Over Recalibrating Expansions
arXiv CS.LG
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ArXi:2511.00064v4 Announce Type: replace Clustering is a foundational task in data analysis, yet most algorithms impose rigid assumptions on cluster geometry: centroid-based methods favor convex structures, while density-based approaches break down under variable local density or moderate dimensionality. This paper