English(EN) Clustering with Non-adaptive Subset Queries

开发了用于子集查询聚类的新型非自适应算法

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-30 04:00

研究人员 Hadley Black 和 Central Tibetan 开发了使用子集查询进行聚类问题的新型非自适应算法。他们的工作解决了在不要求顺序查询响应的情况下有效确定聚类分配的挑战，这对于并行处理至关重要。与先前的方法相比，所提出的算法显著提高了查询复杂度，尤其是在簇的数量恒定的情况下或查询大小受限时。 AI

影响引入了新颖的算法方法，有可能提高涉及聚类的机器学习任务的效率。

排序理由详细介绍特定计算问题新算法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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报道来源 [1]

arXiv cs.LG TIER_1 English(EN) · Hadley Black, Euiwoong Lee, Arya Mazumdar, Barna Saha · 2026-06-30 04:00

使用非自适应子集查询进行聚类

arXiv:2409.10908v3 Announce Type: replace-cross Abstract: Recovering the underlying $k$-clustering of a set $U$ of $n$ points by asking pair-wise same-cluster queries has garnered significant interest in the past few years. Given a query $S \subset U$, $|S|=2$, the oracle returns…

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使用非自适应子集查询进行聚类

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