AI RESEARCH
Classification Fields: Arbitrarily Fine Recursive Hierarchical Clustering From Few Examples
arXiv CS.LG
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ArXi:2605.07119v1 Announce Type: cross Classical clustering methods usually return either a finite partition of the observed data or a finite dendrogram over it. This finite-sample view is inadequate when the hierarchy of interest is a recursive geometric object with fine-scale refinements that continue beyond the levels directly observed. We