English(EN) Doubly Stochastic Adaptive Neighbors Clustering via the Marcus Mapping

新的聚类算法 ANCMM 使用 Marcus 映射处理稀疏矩阵

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-03 04:00

研究人员开发了一种名为双随机自适应邻域聚类 (ANCMM) 的新聚类算法，该算法利用了 Marcus 映射。这种新颖的方法扩展了 Marcus 定理，能够学习稀疏矩阵，这对于聚类中的计算效率至关重要。该算法还包含秩约束，以确保学习到的图自然地划分为所需的簇数。ANCMM 的有效性已通过与最先进方法的比较得到验证，并已建立其与最优传输问题的联系。 AI

排序理由该集群包含一篇详细介绍新颖算法及其理论基础的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Jinghui Yuan, Chusheng Zeng, Fangyuan Xie, Zhe Cao, Mulin Chen, Rong Wang, Feiping Nie, Yuan Yuan · 2026-09-03 04:00

通过Marcus映射实现双重随机自适应邻域聚类

arXiv:2408.02932v3 Announce Type: replace-cross Abstract: Clustering is a fundamental task in machine learning and data science, and similarity graph-based clustering is an important approach within this domain. Doubly stochastic symmetric similarity graphs provide numerous benef…

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通过Marcus映射实现双重随机自适应邻域聚类

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