UP-DPC: Ultra-scalable parallel density peak clustering-Reference-Cited by-同舟云学术

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UP-DPC: Ultra-scalable parallel density peak clustering

Published:2024-03 Issue: Volume:660 Page:120114
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Ma Luyao^ORCID,Yang Geping^ORCID,Yang Yiyang^ORCID,Chen Xiang,Lu Juan,Gong Zhiguo,Hao Zhifeng

Publisher

Elsevier BV

Reference48 articles.

1. Normalized cuts and image segmentation;Shi;IEEE Trans. Pattern Anal. Mach. Intell.,2000

2. A density-based algorithm for discovering clusters in large spatial databases with noise;Ester,1996

3. Clustering by fast search and find of density peaks;Rodriguez;Science,2014

4. SFKNN-DPC: standard deviation weighted distance based density peak clustering algorithm;Xie;Inf. Sci.,2024

5. Quick shift and kernel methods for mode seeking;Vedaldi,2008

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Density peaks clustering based on Gaussian fuzzy neighborhood with noise parameter;Expert Systems with Applications;2024-12

2. Adaptive Density Subgraph Clustering;IEEE Transactions on Computational Social Systems;2024-08

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