Search Results - canopy clustering algorithm

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  1. 1

    Road network partitioning method based on Canopy-Kmeans clustering algorithm by Lin, Xiaohui, Xu, Jianmin

    ISSN: 0866-9546, 2300-8830
    Published: Faculty of Transport, Warsaw University of Technology 30.06.2020
    Published in Archives of Transport (30.06.2020)
    “… segments with similar attributes, and thus, the clustering algorithm can be used to divide the sub…”
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    Journal Article
  2. 2

    Design of digital economy consumer psychology prediction model based on canopy clustering algorithm by Zhang, Yue, Ruan, Peng, Zhao, Jingfeng

    ISSN: 1664-1078, 1664-1078
    Published: Frontiers Media S.A 02.08.2022
    Published in Frontiers in psychology (02.08.2022)
    “…With the continuous improvement of the level of science and technology, the popularization of the Internet and the development of applications, online…”
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    Journal Article
  3. 3

    Equivalent Modeling of Photovoltaic Power Station Based on Canopy-FCM Clustering Algorithm by Wu, Hongbin, Zhang, Jiajia, Luo, Chen, Xu, Bin

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 2019
    Published in IEEE access (2019)
    “… In order to accurately analyze the dynamic characteristics of a grid-connected photovoltaic power station, an equivalent modeling method based on the Canopy-FCM clustering algorithm is proposed…”
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    Journal Article
  4. 4

    Research on Parallel Adaptive Canopy-K-Means Clustering Algorithm for Big Data Mining Based on Cloud Platform by Xia, Dongliang, Ning, Feifei, He, Weina

    ISSN: 1570-7873, 1572-9184
    Published: Dordrecht Springer Netherlands 01.06.2020
    Published in Journal of grid computing (01.06.2020)
    “…Firstly, this paper introduces the types of clustering algorithm, and introduces the classical K-means algorithm and canopy algorithm in detail…”
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    Journal Article
  5. 5

    An improved Canopy-FFCM clustering algorithm for ocean data analysis by WANG, Haiyang, HUANG, Mengxing, WU, Di, Wang, Hao, ZHU, Miao, HE, Haotian, KANG, Jian

    Published: IEEE 01.06.2019
    Published in OCEANS 2019 - Marseille (01.06.2019)
    “… In order to obtain the current water quality information quickly, this paper combines the advantages of Canopy algorithm and FFCM algorithm, and proposes an improved Canopy-FFCM clustering algorithm…”
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    Conference Proceeding
  6. 6

    An enhanced microstate clustering algorithm based on canopy, K-means, and genetic simulated annealing by Liang, Jingting, Yin, Xiangguo, Lin, Mingxing

    ISSN: 2057-1976, 2057-1976
    Published: England 31.07.2025
    Published in Biomedical physics & engineering express (31.07.2025)
    “… . This study proposed a Canopy-KM-GSA algorithm, which combines Canopy clustering algorithm, K-means algorithm and genetic simulated annealing framework to automatically determine the optimal number…”
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    Journal Article
  7. 7

    Improve Threshold Range of Canopy Clustering Using Optimization Algorithms by Zhang, Ru

    ISSN: 2581-8260, 2581-8260
    Published: 16.12.2024
    “… This study aims to enhance the Canopy clustering algorithm by automating the optimization of threshold ranges using intelligent optimization algorithms…”
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    Journal Article
  8. 8

    Study on surface wind load zoning of long-span roof based on improved Canopy-k-means algorithm by Yuxue LI, Jun JI, Yang DONG

    ISSN: 1008-1542
    Published: Hebei University of Science and Technology 01.10.2024
    “… of wind load on the surface of long-span roof structures, an improved Canopy-k-means clustering algorithm was proposed…”
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    Journal Article
  9. 9

    Improved Nearest Neighbor Absorption First Clustering Algorithm for Massive Data by NING Ke,SUN Tongjing,XU Jiejie

    ISSN: 1000-3428
    Published: Editorial Office of Computer Engineering 01.04.2018
    Published in Ji suan ji gong cheng (01.04.2018)
    “…Aiming at the problem that the Nearest Neighbor Absorption First(NNAF) clustering algorithm is difficult to be applied in the massive data clustering process,an improved algorithm is proposed based…”
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    Journal Article
  10. 10

    Individual leaf extractions from young canopy images using Gustafson–Kessel clustering and a genetic algorithm by Neto, João Camargo, Meyer, George E., Jones, David D.

    ISSN: 0168-1699, 1872-7107
    Published: Amsterdam Elsevier B.V 01.04.2006
    Published in Computers and electronics in agriculture (01.04.2006)
    “… Fragments of all other leaves imbedded in the canopy were obtained using the Gustafson–Kessel (GK) clustering algorithm…”
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    Journal Article
  11. 11

    A Time-of-Use pricing time division method based on DTW-C-FCM clustering and an improved quantile approach by Wang, Liying, Dong, Houqi, Wang, Peng, Shi, Mengshu, Wang, Jiani

    ISSN: 0142-0615
    Published: Elsevier Ltd 01.11.2025
    “…•DTW–Canopy–FCM clustering enhances typical daily net load curve extraction.•Improved quantile method captures both load magnitude and fluctuation dynamics…”
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    Journal Article
  12. 12

    Community Detection and Visualization in Complex Network by the Density-Canopy-Kmeans Algorithm and MDS Embedding by Li, Manzhi, Wang, Hongtao, Long, Haixia, Xiang, Ju, Wang, Bo, Xu, Junlin, Yang, Jialiang

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 01.01.2019
    Published in IEEE access (01.01.2019)
    “… In this paper, we propose a Density-Canopy-Kmeans clustering algorithm (DCK) to detect network community structure…”
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    Journal Article
  13. 13

    Improved K-means algorithm based on density Canopy by Zhang, Geng, Zhang, Chengchang, Zhang, Huayu

    ISSN: 0950-7051, 1872-7409
    Published: Amsterdam Elsevier B.V 01.04.2018
    Published in Knowledge-based systems (01.04.2018)
    “…In order to improve the accuracy and stability of K-means algorithm and solve the problem of determining the most appropriate number K of clusters and best initial seeds, an improved K-means algorithm…”
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    Journal Article
  14. 14

    A Dual Cluster-Head Energy-Efficient Routing Algorithm Based on Canopy Optimization and K-Means for WSN by Wu, Mei, Li, Zhengliang, Chen, Jing, Min, Qiusha, Lu, Tao

    ISSN: 1424-8220, 1424-8220
    Published: Switzerland MDPI AG 12.12.2022
    Published in Sensors (Basel, Switzerland) (12.12.2022)
    “…), which is based on K-means and Canopy optimization. Considering that the K-means algorithm is sensitive to the location of the initial clustering centers, this paper uses both the dynamic Canopy…”
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    Journal Article
  15. 15

    Research on Improvement and Parallelization of Canopy-KMeans Clustering Algorithm by Zhao, Huiling

    Published: IEEE 23.09.2021
    “…For the traditional K-Means algorithm in the face of large-scale data, due to the randomness of the initial cluster centers selected lead to local optima, slow speed clustering and other issues…”
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    Conference Proceeding
  16. 16

    Multi-criteria group decision analytics for sustainable supplier relationship management in a focal manufacturing company by Li, Yanlin, Tsang, Y.P., Lee, C.K.M., Wu, C.H.

    ISSN: 0959-6526
    Published: Elsevier Ltd 15.10.2024
    Published in Journal of cleaner production (15.10.2024)
    “… The proposed system utilizes the Bayesian best-worst method and the Canopy…”
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    Journal Article
  17. 17

    User clustering based on Canopy+K-means algorithm in cloud computing by Tong, Jian-Fei

    ISSN: 0972-0502, 2169-012X
    Published: Taylor & Francis 03.10.2017
    Published in Journal of interdisciplinary mathematics (03.10.2017)
    “… To solve this problem, MapReduce programming model is adopted to combine Canopy and K-means clustering algorithms within cloud computing environment, so as to fully make use of the computing…”
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    Journal Article
  18. 18

    Metagenome sequence clustering with hash-based canopies by Rahman, Mohammad Arifur, LaPierre, Nathan, Rangwala, Huzefa, Barbara, Daniel

    ISSN: 1757-6334, 1757-6334
    Published: Singapore 01.12.2017
    “… These canopies are then refined by using state-of-the-art sequence clustering algorithms. This canopy-clustering (CC…”
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    Journal Article
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