Search Results - hierarchical clustering algorithm

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

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

“…Aggregation-based hierarchical clustering algorithms are widely used in data analysis due to their robust clustering performance…”
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GHFHC: Generalized Hesitant Fuzzy Hierarchical Clustering Algorithm by Aliahmadipour, Laya, Eslami, Esfandiar

“… So we propose a new generalized hesitant fuzzy hierarchical clustering (GHFHC) algorithm based on Atanassov's intuitionistic fuzzy set theory…”
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Genie: A new, fast, and outlier-resistant hierarchical clustering algorithm by Gagolewski, Marek, Bartoszuk, Maciej, Cena, Anna

“…•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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Gauging- \deltaδ: A Non-Parametric Hierarchical Clustering Algorithm by Yao, Jinli, Pan, Jie, Zeng, Yong

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

“… (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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Evaluation of elemental affinities in coal using agglomerative hierarchical clustering algorithm: A case study in a thick and mineable coal seam (kM2) from Soma Basin (W. Turkey) by Eminagaoglu, Mete, Oskay, Rıza Görkem, Karayigit, Ali Ihsan

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Algorithms for hierarchical clustering: an overview, II by Murtagh, Fionn, Contreras, Pedro

“…We survey agglomerative hierarchical clustering algorithms and discuss efficient implementations that are available in R and other software environments…”
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Research on partition strategy of an urban water supply network based on optimized hierarchical clustering algorithm by Xia, Wei, Wang, Shi, Shi, Mingjun, Xia, Qing, Jin, Wenting

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

“… 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 by Ufeli, Chukwutem Pinic, Sattar, Mian Usman, Hasan, Raza, Mahmood, Salman

“… 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 by Zhang, Hehui, Li, Kang, Liu, Ting, Liu, Yichu, Hu, Jianxin, Zuo, Qingsong, Jiang, Liangxing

“… 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 by Ran, Xingcheng, Xi, Yue, Lu, Yonggang, Wang, Xiangwen, Lu, Zhenyu

“… 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 by Yao, Jinli, Pan, Jie, Zeng, Yong

“…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 by Latifi-Pakdehi, Alireza, Daneshpour, Negin

“… 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 by Ishizaka, Alessio, Lokman, Banu, Tasiou, Menelaos

“… 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 by Liu, Nana, Xu, Zeshui, Zeng, Xiao-Jun, Ren, Peijia

“…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 by Zhu, Rongbo, Yu, Mai, Li, Yuanli, Wang, Jun, Liu, Lu

“…). 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 by Varshney, Ayush K., Muhuri, Pranab K., Danish Lohani, Q.M.

“… 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 by Behzadidoost, Rashid, Izadkhah, Habib

“…Hierarchical clustering algorithms are widely used in various applications to group similar samples…”
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