arxiv
PublishedJuly 20, 2026 at 4:00 AM
—neutral
Data-Native Global Optimization for Big Data K-means Clustering
Publisher summary· verbatim
arXiv:2607.15835v1 Announce Type: new Abstract: Big data clustering remains challenging: the Minimum Sum-of-Squares Clustering (MSSC) problem underlying K-means is NP-hard, and existing methods either reach poor local minima or require prohibitive metaheuristic hybrids. We target arbitrarily tall da
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Originally published on arxiv ↗