Výsledky vyhledávání - DBSCAN clustering algorithm

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  1. 1

    GB-DBSCAN: A fast granular-ball based DBSCAN clustering algorithm Autor Cheng, Dongdong, Zhang, Cheng, Li, Ya, Xia, Shuyin, Wang, Guoyin, Huang, Jinlong, Zhang, Sulan, Xie, Jiang

    ISSN: 0020-0255
    Vydáno: Elsevier Inc 01.07.2024
    Vydáno v Information sciences (01.07.2024)
    “…Density-Based Spatial Clustering of Applications with Noise (DBSCAN) identifies high-density connected areas as clusters, so that it has advantages in discovering arbitrary-shaped clusters…”
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  2. 2

    NaGB-DBSCAN: An improved DBSCAN clustering algorithm by natural neighbor and granular-ball Autor Luo, Ranliang, Li, Tianshuo, Pu, Rui, Yang, Juntao, Tang, Dongming, Yang, Lijun

    ISSN: 0020-0255
    Vydáno: Elsevier Inc 01.11.2025
    Vydáno v Information sciences (01.11.2025)
    “…DBSCAN is a robust density-based clustering algorithm, which performs well in handling noisy and irregular datasets…”
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  3. 3

    HRRP multi-target recognition in a beam using prior-independent DBSCAN clustering algorithm Autor Guo, Peng-cheng, Liu, Zheng, Wang, Jing-jing

    ISSN: 1751-8784, 1751-8792
    Vydáno: The Institution of Engineering and Technology 01.08.2019
    Vydáno v IET radar, sonar & navigation (01.08.2019)
    “… In this study, a novel multi-target recognition method is proposed based on prior-independent density-based spatial clustering of applications with noise (PI-DBSCAN) algorithm…”
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  4. 4

    DBSCAN Clustering Algorithm Based on Big Data Is Applied in Network Information Security Detection Autor Zhang, Yan

    ISSN: 1939-0114, 1939-0122
    Vydáno: London Hindawi 12.07.2022
    Vydáno v Security and communication networks (12.07.2022)
    “…In order to improve the certainty and clarity of information security detection, an application method of big data clustering algorithm in information security detection is proposed…”
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  5. 5

    A Novel DBSCAN Clustering Algorithm via Edge Computing-Based Deep Neural Network Model for Targeted Poverty Alleviation Big Data Autor Liu, Hui, Liu, Yang, Qin, Zhenquan, Zhang, Ran, Zhang, Zheng, Mu, Liao

    ISSN: 1530-8669, 1530-8677
    Vydáno: Oxford Hindawi 2021
    “…Big data technology has been developed rapidly in recent years. The performance improvement mechanism of targeted poverty alleviation is studied through the…”
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  6. 6

    Artificial rabbits optimization algorithm with automatically DBSCAN clustering algorithm to similarity agent update for features selection problems Autor Hamdipour, Ali, Basiri, Abdolali, Zaare, Mostafa, Mirjalili, Seyedali

    ISSN: 0920-8542, 1573-0484
    Vydáno: New York Springer US 01.01.2025
    Vydáno v The Journal of supercomputing (01.01.2025)
    “… In this work, a new feature selection algorithm based on ARO meta-heuristic algorithm and DBSCAN clustering algorithm with automatic adjustment of input parameters (ARO-DBSCAN) is proposed…”
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  7. 7

    Real-Time Superpixel Segmentation by DBSCAN Clustering Algorithm Autor Shen, Jianbing, Hao, Xiaopeng, Liang, Zhiyuan, Liu, Yu, Wang, Wenguan, Shao, Ling

    ISSN: 1057-7149, 1941-0042, 1941-0042
    Vydáno: United States IEEE 01.12.2016
    Vydáno v IEEE transactions on image processing (01.12.2016)
    “…In this paper, we propose a real-time image superpixel segmentation method with 50 frames/s by using the density-based spatial clustering of applications with noise (DBSCAN) algorithm…”
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  8. 8

    HY-DBSCAN: A hybrid parallel DBSCAN clustering algorithm scalable on distributed-memory computers Autor Wu, Guoqing, Cao, Liqiang, Tian, Hongyun, Wang, Wei

    ISSN: 0743-7315
    Vydáno: Elsevier Inc 01.10.2022
    “… Dbscan is a density-based clustering algorithm which is well known for its ability to discover clusters of arbitrary shape as well as to distinguish noise…”
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  9. 9

    Fuzzy extensions of the DBScan clustering algorithm Autor Ienco, Dino, Bordogna, Gloria

    ISSN: 1432-7643, 1433-7479
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2018
    Vydáno v Soft computing (Berlin, Germany) (01.03.2018)
    “…The DBSCAN algorithm is a well-known density-based clustering approach particularly useful in spatial data mining for its ability to find objects…”
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  10. 10

    A fast DBSCAN clustering algorithm by accelerating neighbor searching using Groups method Autor Mahesh Kumar, K., Rama Mohan Reddy, A.

    ISSN: 0031-3203, 1873-5142
    Vydáno: Elsevier Ltd 01.10.2016
    Vydáno v Pattern recognition (01.10.2016)
    “… Density Based Spatial Clustering of Applications with Noise (DBSCAN) can discover clusters of arbitrary shape and also handles outliers effectively…”
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  11. 11

    ST-DBSCAN: An algorithm for clustering spatial–temporal data Autor Birant, Derya, Kut, Alp

    ISSN: 0169-023X, 1872-6933
    Vydáno: Elsevier B.V 2007
    Vydáno v Data & knowledge engineering (2007)
    “…This paper presents a new density-based clustering algorithm, ST-DBSCAN, which is based on DBSCAN…”
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  12. 12

    Efficient and Fast Active Equalization Method for Retired Battery Pack Using Wide Voltage Range Bidirectional Converter and DBSCAN Clustering Algorithm Autor Lujun, Wang, Jinyang, Ke, Min, Zhan, Aina, Tian, Tiezhou, Wu, Xiaoxing, Zhang, Jiuchun, Jiang

    ISSN: 0885-8993, 1941-0107
    Vydáno: New York IEEE 01.11.2022
    “… The DBSCAN clustering algorithm is used to divide all battery cells into groups, and each group may contain one or more adjacent and nonadjacent battery…”
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  13. 13

    Multivariate weather anomaly detection using DBSCAN clustering algorithm Autor Wibisono, S, Anwar, M T, Supriyanto, A, Amin, I H A

    ISSN: 1742-6588, 1742-6596
    Vydáno: Bristol IOP Publishing 01.04.2021
    Vydáno v Journal of physics. Conference series (01.04.2021)
    “… This research uses the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm to separate between normal and anomalous weather data by considering multiple weather variables…”
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  14. 14

    An automated approach for wood-leaf separation from terrestrial LIDAR point clouds using the density based clustering algorithm DBSCAN Autor Ferrara, Roberto, Virdis, Salvatore G.P., Ventura, Andrea, Ghisu, Tiziano, Duce, Pierpaolo, Pellizzaro, Grazia

    ISSN: 0168-1923, 1873-2240
    Vydáno: Elsevier B.V 15.11.2018
    Vydáno v Agricultural and forest meteorology (15.11.2018)
    “…•A geometric method for wood-leaves separation from TLS point clouds is proposed.•Classification of wood points is highly accurate in broad leaved non-decidous…”
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  15. 15

    A data mining approach for improved interpretation of ERT inverted sections using the DBSCAN clustering algorithm Autor Sabor, Kawtar, Jougnot, Damien, Guerin, Roger, Steck, Barthélémy, Henault, Jean-Marie, Apffel, Louis, Vautrin, Denis

    ISSN: 0956-540X, 1365-246X
    Vydáno: Oxford University Press 01.05.2021
    Vydáno v Geophysical journal international (01.05.2021)
    “… We selected an algorithm known as DBSCAN (Density-Based Spatial Clustering of Applications with Noise…”
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  16. 16

    An Extended DBSCAN Clustering Algorithm Autor Fahim, Ahmed

    ISSN: 2158-107X, 2156-5570
    Vydáno: West Yorkshire Science and Information (SAI) Organization Limited 2022
    “…Finding clusters of different densities is a challenging task. DBSCAN “Density-Based Spatial Clustering of Applications with Noise…”
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  17. 17

    An Entropy-based Adaptive DBSCAN Clustering Algorithm and Its Application in THz Wireless Channels Autor Luo, Jiao, Liao, Xi, Wang, Yang, Zhang, Jie, Yu, Ziming, Wang, Guangjian, Li, Xianjin

    ISSN: 0018-926X, 1558-2221
    Vydáno: New York IEEE 01.12.2023
    “… In this paper, we propose an entropy-based adaptive density-based spatial clustering of applications with noise (EBA-DBSCAN…”
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  18. 18

    Machine Well Screening Method Based on POI Data and DBSCAN Clustering Algorithm Autor Gan, Xing, Fan, Haiyan, Yang, Moyuan, Tang, Fangfang, Liu, Honglu, Ma, Zhijun

    ISSN: 1545-598X, 1558-0571
    Vydáno: Piscataway IEEE 2025
    “… ArcGIS spatial analysis helped us pinpoint POIs with significant water demand. The DBSCAN clustering algorithm was then employed to scrutinize…”
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    Classification of Subgroups of Solar and Heliospheric Observatory (SOHO) Sungrazing Kreutz Comet Group by the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) Clustering Algorithm Autor Karimova, Ulkar, Yi, Yu

    ISSN: 2093-5587, 2093-1409
    Vydáno: The Korean Space Science Society 01.03.2024
    “… In this study, we introduce an automated classification technique using the density-based spatial clustering of applications with noise (DBSCAN…”
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    Membership determination in open clusters using the DBSCAN Clustering Algorithm Autor Raja, M., Hasan, P., Mahmudunnobe, Md, Saifuddin, Md, Hasan, S.N.

    ISSN: 2213-1337, 2213-1345
    Vydáno: Elsevier B.V 01.04.2024
    Vydáno v Astronomy and computing (01.04.2024)
    “…In this paper, we apply the machine learning clustering algorithm Density Based Spatial Clustering of Applications with Noise (DBSCAN…”
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