Výsledky vyhledávání - Hierarchical clustering algorithm

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  1. 1

    Pythagorean Fuzzy Clustering Analysis: A Hierarchical Clustering Algorithm with the Ratio Index‐Based Ranking Methods Autor Zhang, Xiaolu

    ISSN: 0884-8173, 1098-111X
    Vydáno: New York John Wiley & Sons, Inc 01.09.2018
    “…The Pythagorean fuzzy set introduced by R. R. Yager in 2014 is a useful tool to model imprecise and ambiguous information appearing in decision and clustering problems…”
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  2. 2

    A robust hierarchical clustering algorithm for automatic identification of clusters: A robust hierarchical clustering algorithm for Autor Long, Jianwu, Wang, Qiang, Liu, Luping

    ISSN: 0924-669X, 1573-7497
    Vydáno: New York Springer US 03.03.2025
    “…Aggregation-based hierarchical clustering algorithms are widely used in data analysis due to their robust clustering performance…”
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  3. 3

    GHFHC: Generalized Hesitant Fuzzy Hierarchical Clustering Algorithm Autor Aliahmadipour, Laya, Eslami, Esfandiar

    ISSN: 0884-8173, 1098-111X
    Vydáno: New York Blackwell Publishing Ltd 01.09.2016
    “… So we propose a new generalized hesitant fuzzy hierarchical clustering (GHFHC) algorithm based on Atanassov's intuitionistic fuzzy set theory…”
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  4. 4

    Genie: A new, fast, and outlier-resistant hierarchical clustering algorithm Autor Gagolewski, Marek, Bartoszuk, Maciej, Cena, Anna

    ISSN: 0020-0255, 1872-6291
    Vydáno: Elsevier Inc 01.10.2016
    Vydáno v Information sciences (01.10.2016)
    “…•The algorithm is fast, parallelizable, and runs in O(n) memory. The time needed to apply a hierarchical clustering algorithm is most often dominated by the number of computations of a pairwise dissimilarity measure…”
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  5. 5

    Gauging- \deltaδ: A Non-Parametric Hierarchical Clustering Algorithm Autor Yao, Jinli, Pan, Jie, Zeng, Yong

    ISSN: 0162-8828, 1939-3539
    Vydáno: United States IEEE 01.06.2025
    “…The development of a nonparametric and versatile clustering algorithm has been a longstanding challenge in unsupervised learning due to the exploratory nature of the clustering problem…”
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  6. 6

    Automatic Quasi-Clique Merger Algorithm — A hierarchical clustering based on subgraph-density Autor Payne, Scott, Fuller, Edgar, Spirou, George, Zhang, Cun-Quan

    ISSN: 0378-4371, 1873-2119
    Vydáno: Netherlands Elsevier B.V 01.01.2022
    Vydáno v Physica A (01.01.2022)
    “… (introduced by Ou and Zhang (2007)). The AQCM algorithm performs hierarchical clustering in any data set for which there is an associated similarity measure quantifying the similarity of any data i and data j…”
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    Algorithms for hierarchical clustering: an overview, II Autor Murtagh, Fionn, Contreras, Pedro

    ISSN: 1942-4787, 1942-4795
    Vydáno: Hoboken, USA Wiley Periodicals, Inc 01.11.2017
    “…We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations that are available in R and other software environments…”
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  9. 9

    Research on partition strategy of an urban water supply network based on optimized hierarchical clustering algorithm Autor Xia, Wei, Wang, Shi, Shi, Mingjun, Xia, Qing, Jin, Wenting

    ISSN: 1606-9749, 1607-0798
    Vydáno: London IWA Publishing 01.04.2022
    “… The random forest approach was also used to extract time-domain characteristics from flow data, and the water supply network split was optimized using the random forest-hierarchical clustering (RF-HC) strategy…”
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  10. 10

    Multiple factor hierarchical clustering algorithm for large scale web page and search engine clickstream data Autor Kou, Gang, Lou, Chunwei

    ISSN: 0254-5330, 1572-9338
    Vydáno: Boston Springer US 01.08.2012
    Vydáno v Annals of operations research (01.08.2012)
    “… The purpose of this study is to propose a hierarchical clustering method that combines multiple factors to identify clusters of web pages that can satisfy users’ information needs…”
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    Enhancing Customer Segmentation Through Factor Analysis of Mixed Data (FAMD)-Based Approach Using K-Means and Hierarchical Clustering Algorithms Autor Ufeli, Chukwutem Pinic, Sattar, Mian Usman, Hasan, Raza, Mahmood, Salman

    ISSN: 2078-2489, 2078-2489
    Vydáno: Basel MDPI AG 01.06.2025
    Vydáno v Information (Basel) (01.06.2025)
    “… Traditional clustering methods often struggle with datasets containing both numerical and categorical variables, leading to suboptimal segmentation…”
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    Analysis of Radial Hydraulic Forces in Centrifugal Pump Operation via Hierarchical Clustering (HC) Algorithms Autor Zhang, Hehui, Li, Kang, Liu, Ting, Liu, Yichu, Hu, Jianxin, Zuo, Qingsong, Jiang, Liangxing

    ISSN: 2076-3417, 2076-3417
    Vydáno: Basel MDPI AG 01.09.2025
    Vydáno v Applied sciences (01.09.2025)
    “… Feature engineering was utilized to extract 23 time-frequency domain features. Through Pearson correlation analysis and agglomerative hierarchical clustering (AHC…”
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    Comprehensive survey on hierarchical clustering algorithms and the recent developments Autor Ran, Xingcheng, Xi, Yue, Lu, Yonggang, Wang, Xiangwen, Lu, Zhenyu

    ISSN: 0269-2821, 1573-7462
    Vydáno: Dordrecht Springer Netherlands 01.08.2023
    Vydáno v The Artificial intelligence review (01.08.2023)
    “… Comparing to partitioning clustering methods which give a flat partition of the data, hierarchical clustering methods can give multiple consistent partitions of the data at different levels…”
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    Gauging-: A Non-Parametric Hierarchical Clustering Algorithm Autor Yao, Jinli, Pan, Jie, Zeng, Yong

    ISSN: 0162-8828, 1939-3539, 2160-9292, 1939-3539
    Vydáno: 01.06.2025
    “…The development of a nonparametric and versatile clustering algorithm has been a longstanding challenge in unsupervised learning due to the exploratory nature of the clustering problem…”
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    DBHC: A DBSCAN-based hierarchical clustering algorithm Autor Latifi-Pakdehi, Alireza, Daneshpour, Negin

    ISSN: 0169-023X, 1872-6933
    Vydáno: Elsevier B.V 01.09.2021
    Vydáno v Data & knowledge engineering (01.09.2021)
    “… DBSCAN is one of the most important clustering algorithms in the density based approach of clustering…”
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    A Stochastic Multi-criteria divisive hierarchical clustering algorithm Autor Ishizaka, Alessio, Lokman, Banu, Tasiou, Menelaos

    ISSN: 0305-0483, 1873-5274
    Vydáno: Elsevier Ltd 01.09.2021
    Vydáno v Omega (Oxford) (01.09.2021)
    “… Consequently, new multi-criteria clustering methods have been proposed. All proposed algorithms are based on the non-hierarchical clustering approach, in which the number of clusters is known in advance…”
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    An agglomerative hierarchical clustering algorithm for linear ordinal rankings Autor Liu, Nana, Xu, Zeshui, Zeng, Xiao-Jun, Ren, Peijia

    ISSN: 0020-0255, 1872-6291
    Vydáno: Elsevier Inc 01.05.2021
    Vydáno v Information sciences (01.05.2021)
    “…This paper mainly proposes a new method for clustering linear ordinal ranking (LOR) information by agglomerative hierarchical clustering…”
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    Edge Sensing-Enabled Multistage Hierarchical Clustering Deredundancy Algorithm in WSNs Autor Zhu, Rongbo, Yu, Mai, Li, Yuanli, Wang, Jun, Liu, Lu

    ISSN: 1530-8669, 1530-8677
    Vydáno: Oxford Hindawi 2021
    “…). To decrease the additional power consumption and extend the lifetime of a WSN, a multistage hierarchical clustering deredundancy algorithm is proposed…”
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    PIFHC: The Probabilistic Intuitionistic Fuzzy Hierarchical Clustering Algorithm Autor Varshney, Ayush K., Muhuri, Pranab K., Danish Lohani, Q.M.

    ISSN: 1568-4946, 1872-9681, 1872-9681
    Vydáno: Elsevier B.V 01.05.2022
    Vydáno v Applied soft computing (01.05.2022)
    “… clustering approach which we term as ‘Probabilistic Intuitionistic Fuzzy Hierarchical Clustering (PIFHC) Algorithm…”
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    Identifying Effective Algorithms and Measures for Enhanced Clustering Quality: A Comprehensive Examination of Arbitrary Decisions in Hierarchical Clustering Algorithms Autor Behzadidoost, Rashid, Izadkhah, Habib

    ISSN: 0176-4268, 1432-1343
    Vydáno: New York Springer US 01.07.2025
    Vydáno v Journal of classification (01.07.2025)
    “…Hierarchical clustering algorithms are widely used in various applications to group similar samples…”
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