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Effective Density Peaks Clustering Algorithm Based on the Layered K-Nearest Neighbors and Subcluster Merging

机译：基于分层k离邻居的有效密度峰集聚类算法和子集群合并

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Chunhua Ren; Linfu Sun; Yang Yu; Qishi Wu;
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1. A novel density peaks clustering algorithm based on K nearest neighbors with adaptive merging strategy [J] . Yuan Xiaoning, Yu Hang, Liang Jun, International journal of machine learning and cybernetics . 2021,第10期

机译：一种基于K最近邻居的新型密度峰聚类算法，自适应合并策略
2. Density peaks clustering based on k-nearest neighbors sharing [J] . Fan Tanghuai, Yao Zhanfeng, Han Longzhe, Concurrency and computation: practice and experience . 2021,第5期

机译：基于K-CORMATE邻居共享的密度峰集群
3. Density peaks clustering based on k-nearest neighbors and self-recommendation [J] . Sun Lin, Qin Xiaoying, Ding Weiping, International journal of machine learning and cybernetics . 2021,第7期

机译：基于K-CORMALY邻居和自我推荐的密度峰集聚类
4. A Fuzzy Density Peaks Clustering Algorithm Based on Improved DNA Genetic Algorithm and K-Nearest Neighbors [C] . Wenqian Zhang, Wenke Zang International Conference on intelligent science and big data engineering . 2018

机译：基于改进的DNA遗传算法和K最近邻的模糊密度峰聚类算法
5. Voting Nearest Neighbors: SVM Constraints Selection Algorithm Based on K-Nearest Neighbors [D] . Moreira da Costa, Leandro. 2019

机译：投票最近的邻居：基于K-Indect邻居的SVM约束选择算法
6. A Robust Multi-Sensor Data Fusion Clustering Algorithm Based on Density Peaks [O] . Jiande Fan, Weixin Xie, Haocui Du 2020

机译：基于密度峰值的鲁棒多传感器数据融合聚类算法
7. Density Peaks Clustering Algorithm Based on Weighted k-Nearest Neighbors and Geodesic Distance [O] . Lina Liu, Donghua Yu 2020

机译：基于加权k - 最近邻居和测地距的密度峰集聚类算法

Effective Density Peaks Clustering Algorithm Based on the Layered K-Nearest Neighbors and Subcluster Merging

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