Suchergebnisse - Grid-based density peaks clustering algorithm

A Grid-Based Density Peaks Clustering Algorithm

Autoren: Xintong Fang Zhen Xu Haifeng Ji et al.

Quelle: IEEE Transactions on Industrial Informatics. 19:5476-5484

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Density peaks clustering algorithm with neighborhood optimization and micro-cluster merging.

Autoren: Lv, Li Tan, Hong-Wei Xiao, Ren-Bin et al.

Quelle: Cluster Computing; Dec2025, Vol. 28 Issue 15, p1-17, 17p

Schlagwörter: CLUSTERING algorithms, IMAGE segmentation, DENSITY, DATA structures, MICROCLUSTERS, CLUSTER analysis (Statistics)

Density Adjusted Spectral Clustering Algorithm Based on Neighborhood Standard Deviation

Autoren: Xiaoyu GUO Jinjin LIU Yajun CHEN et al.

Quelle: 工程科学与技术, Vol 57, Pp 40-53 (2025)

Schlagwörter: spectral clustering, density adjustment, neighborhood standard deviation, adaptive, density peak, Engineering (General). Civil engineering (General), TA1-2040, Hydraulic engineering, TC1-978

Dateibeschreibung: electronic resource

Relation: http://jsuese.scu.edu.cn/thesisDetails#10.12454/j.jsuese.202300821; https://doaj.org/toc/2096-3246

Zugangs-URL: https://doaj.org/article/119d2c5f02b543d79b444690cdbf9e23

An improved density peaks clustering algorithm based on mutual nearest neighbor distance.

Autoren: Chen, Yaru Zhou, Jie He, Xingshi

Quelle: International Journal of Machine Learning & Cybernetics; Oct2025, Vol. 16 Issue 10, p8269-8293, 25p

INSDPC: A density peaks clustering algorithm based on interactive neighbors similarity.

Autoren: Liu, Shihu He, Yirong Yang, Xiyang et al.

Quelle: AIMS Mathematics; 2025, Vol. 10 Issue 4, p1-25, 25p

Schlagwörter: CLUSTERING algorithms, DATA distribution, INFORMATION sharing, NEIGHBORHOODS, DENSITY

Density peaks clustering algorithm with connected local density and punished relative distance.

Autoren: Xiong, Jingwen Zang, Wenke Zhao, Yuzhen et al.

Quelle: Journal of Supercomputing; Mar2024, Vol. 80 Issue 5, p6140-6168, 29p

Schlagwörter: SPECIFIC gravity, K-nearest neighbor classification, DENSITY, EUCLIDEAN distance, CLUSTERING algorithms

Secure grid‐based density peaks clustering on hybrid cloud for industrial IoT

Autoren: Liping Sun Shang Ci Xiaoqing Liu et al.

Quelle: International Journal of Network Management. 31

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Zugangs-URL: https://onlinelibrary.wiley.com/doi/abs/10.1002/nem.2139
https://dblp.uni-trier.de/db/journals/ijnm/ijnm31.html#SunCLGZL21

Secure grid‐based density peaks clustering on hybrid cloud for industrial IoT.

Autoren: Sun, Liping Ci, Shang Liu, Xiaoqing et al.

Quelle: International Journal of Network Management; Mar/Apr2021, Vol. 31 Issue 2, p1-17, 17p

Schlagwörter: HYBRID cloud computing, INTERNET of things, MANUFACTURING processes, COMPUTATIONAL complexity, DENSITY, SCALABILITY

Density Peaks Clustering Algorithm Based on a Divergence Distance and Tissue—Like P System.

Autoren: Ge, Fuhua Liu, Xiyu

Quelle: Applied Sciences (2076-3417); Feb2023, Vol. 13 Issue 4, p2293, 19p

Schlagwörter: SPECIFIC gravity, DENSITY, EUCLIDEAN distance, ALGORITHMS, TISSUES

A novel deviation density peaks clustering algorithm and its applications of medical image segmentation.

Autoren: Zhou, Wei Wang, Limin Han, Xuming et al.

Quelle: IET Image Processing (Wiley-Blackwell); Dec2022, Vol. 16 Issue 14, p3790-3804, 15p

Schlagwörter: IMAGE segmentation, DIAGNOSTIC imaging, IMAGE processing, ALGORITHMS, DENSITY, FUZZY algorithms, GRAPH algorithms

Density peaks clustering algorithm based on improved similarity and allocation strategy.

Autoren: Ding, Shifei Du, Wei Li, Chao et al.

Quelle: International Journal of Machine Learning & Cybernetics; Apr2023, Vol. 14 Issue 4, p1527-1542, 16p

Fast density peaks clustering algorithm in polar coordinate system.

Autoren: Li, Chao Ding, Shifei Xu, Xiao et al.

Quelle: Applied Intelligence; Sep2022, Vol. 52 Issue 12, p14478-14490, 13p

Schlagwörter: SPARSE matrices, COSINE function, DENSITY, ALGORITHMS

A novel density peaks clustering algorithm for automatic selection of clustering centers based on K-nearest neighbors.

Autoren: Zhihe Wang Huan Wang Hui Du et al.

Quelle: Mathematical Biosciences & Engineering; 2023, Vol. 20 Issue 7, p11875-11894, 20p

Density peaks clustering based on local fair density and fuzzy k-nearest neighbors membership allocation strategy.

Autoren: Ren, Chunhua Sun, Linfu Gao, Yunhui et al.

Quelle: Journal of Intelligent & Fuzzy Systems; 2022, Vol. 43 Issue 1, p21-34, 14p

Schlagwörter: K-nearest neighbor classification, DENSITY, MEMBERSHIP functions (Fuzzy logic), FAULT tolerance (Engineering), LEAD time (Supply chain management)

An improved density peaks clustering algorithm based on grid screening and mutual neighborhood degree for network anomaly detection.

Autoren: Chen, Liangchen Gao, Shu Liu, Baoxu

Quelle: Scientific Reports; 1/26/2022, Vol. 12 Issue 1, p1-14, 14p

Schlagwörter: ANOMALY detection (Computer security), ALGORITHMS, COMPUTATIONAL complexity, DENSITY

DPCG: an efficient density peaks clustering algorithm based on grid.

Autoren: Xu, Xiao Ding, Shifei Du, Mingjing et al.

Quelle: International Journal of Machine Learning & Cybernetics; May2018, Vol. 9 Issue 5, p743-754, 12p

Grid-DPC: Improved density peaks clustering based on spatial grid walk.

Autoren: Liang, Bo Cai, JiangHui Yang, HaiFeng

Quelle: Applied Intelligence; Feb2023, Vol. 53 Issue 3, p3221-3239, 19p

Schlagwörter: LEVY processes, RANDOM walks, DENSITY

Density Peak Clustering Algorithm Considering Topological Features

Autoren: Shuyi Lu Yuanjie Zheng Rong Luo et al.

Quelle: Electronics
Volume 9
Issue 3

Schlagwörter: topological features, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, graph, clustering

Dateibeschreibung: application/pdf

Zugangs-URL: https://www.mdpi.com/2079-9292/9/3/459/pdf
https://www.mdpi.com/2079-9292/9/3/459
https://www.mdpi.com/2079-9292/9/3/459/pdf

基于网格的快速搜寻密度峰值的聚类算法优化研究.

Alternate Title: Optimization of grid based clustering by fast search and find of density peaks.

Autoren: 孙昊 张明新 戴娇 et al.

Quelle: Computer Engineering & Science / Jisuanji Gongcheng yu Kexue. May2017, Vol. 39 Issue 5, p964-970. 7p.

Adaptive grid-based forest-like clustering algorithm.

Autoren: Cheng, Mingchang Ma, Tiefeng Ma, Lin et al.

Quelle: Neurocomputing. Apr2022, Vol. 481, p168-181. 14p.

Schlagwörter: *ALGORITHMS, *SUBJECTIVITY, *RANDOM forest algorithms, *DENSITY, *NEW business enterprises, *EDGES (Geometry)