2 papers
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…
cs.DC2025
Scalable Co-Clustering for Large-Scale Data through Dynamic Partitioning and Hierarchical Merging
Zihan Wu, Zhaoke Huang, Hong Yan
Co-clustering simultaneously clusters rows and columns, revealing more fine-grained groups. However, existing co-clustering methods suffer from poor scalability and cannot handle l…