Suchergebnisse - Grid-based density peaks clustering algorithm

  1. 1

    A Grid-Based Density Peaks Clustering Algorithm von Fang, Xintong, Xu, Zhen, Ji, Haifeng, Wang, Baoliang, Huang, Zhiyao

    ISSN: 1551-3203, 1941-0050
    Veröffentlicht: Piscataway IEEE 01.04.2023
    Veröffentlicht in IEEE transactions on industrial informatics (01.04.2023)
    “… This work focuses on the improvement of density peaks clustering (DPC, also known as clustering by fast search and find of density peaks, FSFDP …”
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  2. 2

    Automatic color pattern recognition of multispectral printed fabric images von Zhang, Jie, Yao, Pengpeng, Wu, Hochung, Xin, John H.

    ISSN: 0956-5515, 1572-8145
    Veröffentlicht: New York Springer US 01.08.2023
    Veröffentlicht in Journal of intelligent manufacturing (01.08.2023)
    “… spectrophotometers and digital cameras. This paper develops a grid-based density peaks clustering (GDPC) algorithm to automatically recognize patterns and extract colors of multispectral images of printed fabrics …”
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  3. 3

    Secure gridbased density peaks clustering on hybrid cloud for industrial IoT von Sun, Liping, Ci, Shang, Liu, Xiaoqing, Guo, Liangmin, Zheng, Xiaoyao, Luo, Yonglong

    ISSN: 1055-7148, 1099-1190
    Veröffentlicht: Chichester Wiley Subscription Services, Inc 01.03.2021
    Veröffentlicht in International journal of network management (01.03.2021)
    “… To address these problems, this paper proposes a secure gridbased density peaks clustering algorithm for a hybrid cloud environment …”
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  4. 4

    Density Peak Clustering Algorithm Based on Data Field Theory and Grid Similarity von Yu, Qing-Ying, Shi, Ge-Ge, Xu, Dong-Sheng, Wang, Wen-Kai, Chen, Chuan-Ming, Luo, Yong-Long

    ISSN: 1000-9000, 1860-4749
    Veröffentlicht: Singapore Springer Nature Singapore 01.03.2025
    Veröffentlicht in Journal of computer science and technology (01.03.2025)
    “… The density peak clustering algorithm can rapidly identify cluster centers by drawing decision graphs without any prior knowledge …”
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  5. 5

    A PID-Based kNN Query Processing Algorithm for Spatial Data von Qiao, Baiyou, Ma, Ling, Chen, Linlin, Hu, Bing

    ISSN: 1424-8220, 1424-8220
    Veröffentlicht: Basel MDPI AG 09.10.2022
    Veröffentlicht in Sensors (Basel, Switzerland) (09.10.2022)
    “… ) control technology into kNN query processing and propose a PID-based kNN query processing algorithm (PIDKNN …”
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  6. 6

    DPCG: an efficient density peaks clustering algorithm based on grid von Xu, Xiao, Ding, Shifei, Du, Mingjing, Xue, Yu

    ISSN: 1868-8071, 1868-808X
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2018
    “… To address this issue, this paper introduces a novel approach based on grid, called density peaks clustering algorithm based on grid (DPCG …”
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  7. 7

    Density Peaks Spatial Clustering by Grid Neighborhood Search von Luan, Shaotong, Lu, Cong, Bai, Liang, Wang, Haoran

    Veröffentlicht: IEEE 01.11.2019
    “… To solve the problem of low efficiency in large datasets, this paper improved the DPC algorithm and proposed a density peak clustering algorithm, DPSCGNS, based on grid neighborhood search …”
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  8. 8

    An improved density peaks clustering algorithm based on grid screening and mutual neighborhood degree for network anomaly detection von Chen, Liangchen, Gao, Shu, Liu, Baoxu

    ISSN: 2045-2322, 2045-2322
    Veröffentlicht: London Nature Publishing Group UK 26.01.2022
    Veröffentlicht in Scientific reports (26.01.2022)
    “… Here, we propose a clustering-based network anomaly detection model, and then a novel density peaks clustering algorithm DPC-GS-MND based on grid screening and mutual neighborhood degree for network anomaly detection …”
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  9. 9

    Parallel grid-based density peak clustering of big trajectory data von Niu, Xinzheng, Zheng, Yunhong, Fournier-Viger, Philippe, Wang, Bing

    ISSN: 0924-669X, 1573-7497
    Veröffentlicht: New York Springer US 01.12.2022
    Veröffentlicht in Applied intelligence (Dordrecht, Netherlands) (01.12.2022)
    “… To perform this task, Density Peak Clustering (DPC) is widely used due to its speed and small number of artificial parameters …”
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  10. 10

    GRIDEN: An effective grid-based and density-based spatial clustering algorithm to support parallel computing von Deng, Chao, Song, Jinwei, Sun, Ruizhi, Cai, Saihua, Shi, Yinxue

    ISSN: 0167-8655, 1872-7344
    Veröffentlicht: Amsterdam Elsevier B.V 15.07.2018
    Veröffentlicht in Pattern recognition letters (15.07.2018)
    “… •Propose a new effective density-based and grid-based clustering algorithm GRIDEN for massive spatial data …”
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  11. 11

    Density Peak Clustering Algorithm Considering Topological Features von Lu, Shuyi, Zheng, Yuanjie, Luo, Rong, Jia, Weikuan, Lian, Jian, Li, Chengjiang

    ISSN: 2079-9292, 2079-9292
    Veröffentlicht: 01.03.2020
    Veröffentlicht in Electronics (Basel) (01.03.2020)
    “… At present, types of clustering algorithms are mainly divided into hierarchical, density-based, grid-based and model-based ones …”
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  12. 12

    Adaptive grid-based forest-like clustering algorithm von Cheng, Mingchang, Ma, Tiefeng, Ma, Lin, Yuan, Jian, Yan, Qijing

    ISSN: 0925-2312, 1872-8286
    Veröffentlicht: Elsevier B.V 07.04.2022
    Veröffentlicht in Neurocomputing (Amsterdam) (07.04.2022)
    “… This paper presents an adaptive grid-based clustering algorithm called as “AGFC”, which uses a forest-like query structure to sequentially discovers multiple arbitrary-shaped clusters from the grid …”
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  13. 13

    A Fast Density and Grid Based Clustering Method for Data With Arbitrary Shapes and Noise von Bo Wu, Wilamowski, Bogdan M.

    ISSN: 1551-3203, 1941-0050
    Veröffentlicht: Piscataway IEEE 01.08.2017
    Veröffentlicht in IEEE transactions on industrial informatics (01.08.2017)
    “… This paper presents a density- and grid- based (DGB) clustering method for categorizing data with arbitrary shapes and noise …”
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  14. 14

    A Grid-Based Scenario Delineation Method for Distribution Networks Based on Fuzzy Comprehensive Evaluation and SNN-DPC Clustering von Zhu, Liuzhu, Yang, Xin, Wang, Xuli, Zhou, Fan, Guan, Zhi, Yang, Hejun

    ISSN: 2227-9717, 2227-9717
    Veröffentlicht: Basel MDPI AG 13.09.2025
    Veröffentlicht in Processes (13.09.2025)
    “… (density peak clustering based on shared-nearest-neighbors). First, analyze the response characteristics of various types of flexible resources, and establish a multi …”
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  15. 15

    An efficient grid-based clustering method by finding density peaks von Bo Wu, Wilamowski, B. M.

    Veröffentlicht: IEEE 01.10.2016
    “… ). In this paper, an efficient grid-based clustering (GBC) method by finding density peaks is described …”
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    Density Adjusted Spectral Clustering Algorithm Based on Neighborhood Standard Deviation von Xiaoyu GUO, Jinjin LIU, Yajun CHEN, Haojie LI, Peiyan YUAN, Xiaoyan ZHAO

    ISSN: 2096-3246
    Veröffentlicht: Editorial Department of Journal of Sichuan University (Engineering Science Edition) 01.03.2025
    Veröffentlicht in 工程科学与技术 (01.03.2025)
    “… Traditional clustering algorithms can be categorized into five primary types: hierarchical, density-based, grid-based, model-based, and partition-based algorithms …”
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  17. 17

    On the approximation of Euclidean SL via geometric method von Huang, Xiaogang, Ma, Tiefeng

    ISSN: 0020-0255, 1872-6291
    Veröffentlicht: Elsevier Inc 01.11.2023
    Veröffentlicht in Information sciences (01.11.2023)
    “… We propose a grid-based algorithm, called ρ-SL, to solve this problem in O(n+ν) expected time, where ν …”
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  18. 18

    An Improved K-means Clustering Algorithm von Xu, Hui, Yao, Shunyu, Li, Qianyun, Ye, Zhiwei

    Veröffentlicht: IEEE 17.09.2020
    “… To solve these problems, this paper proposes an improved K-means clustering algorithm. The concept of CLIQUE grid is used to remove the noise and obtain the regional density …”
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    Enhanced Grid Based K-Medoids Clustering Technique for Customer Segmentation von Deepthi, M.

    ISSN: 2321-9653, 2321-9653
    Veröffentlicht: 31.03.2025
    “… To address these issues, this paper proposes an improved K-Medoids clustering algorithm. A density-based noise removal technique is introduced through Grid to filter out outliers and obtain regional density …”
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    Adaptive Peak Environmental Density Clustering Algorithm in Cloud Computing Technology von Zhao, Nannan

    ISSN: 0146-4116, 1558-108X
    Veröffentlicht: Moscow Pleiades Publishing 01.06.2023
    Veröffentlicht in Automatic control and computer sciences (01.06.2023)
    “… — In order to improve the clustering ability of grid sparse unbalanced cloud data sets, an adaptive environment density peak clustering algorithm based on cloud computing technology is proposed …”
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