most citedScalable Co-Clustering for Large-Scale Data through Dynamic Partitioning and Hierarchical Merging

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cs.DS2025

Sublinear Data Structures for Nearest Neighbor in Ultra High Dimensions

Martin G. Herold, Danupon Nanongkai, Joachim Spoerhase +2

Geometric data structures have been extensively studied in the regime where the dimension is much smaller than the number of input points. But in many scenarios in Machine Learning…