Výsledky vyhledávání - approximate clustering algorithm

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  1. 1

    A $(3+\varepsilon)$-Approximate Correlation Clustering Algorithm in Dynamic Streams Autor Cambus, Mélanie, Kuhn, Fabian, Lindy, Etna, Pai, Shreyas, Uitto, Jara

    ISSN: 2751-4838, 2751-4838
    Vydáno: 28.02.2025
    Vydáno v TheoretiCS (28.02.2025)
    “… In this paper, we study streaming algorithms for correlation clustering, where each pair of elements is labeled either similar or dissimilar…”
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    Journal Article
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    Fast Density Peaks Clustering Algorithm Based on Approximate k-Nearest Neighbors Autor Ding, Shifei, Li, Chao, Xu, Xiao, Guo, Lili, Ding, Ling, Wu, Xindong

    ISSN: 1041-4347, 1558-2191
    Vydáno: IEEE 01.10.2025
    “… To this end, this paper proposes a fast density peaks clustering algorithm based on approximate k -nearest neighbors (FDPAN…”
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    Journal Article
  3. 3

    L-ASCRA: A Linearithmic Time Approximate Spectral Clustering Algorithm Using Topologically-Preserved Representatives Autor Khan, Abdul Atif, Akhter, Mohammad Maksood, Maheshwari, Rashmi, Mohanty, Sraban Kumar

    ISSN: 1041-4347, 1558-2191
    Vydáno: IEEE 01.12.2024
    “…Approximate spectral clustering (ASC) algorithms work on the representative points of the data for discovering intrinsic groups…”
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    Journal Article
  4. 4

    A semi-supervised approximate spectral clustering algorithm based on HMRF model Autor Ding, Shifei, Jia, Hongjie, Du, Mingjing, Xue, Yu

    ISSN: 0020-0255, 1872-6291
    Vydáno: Elsevier Inc 01.03.2018
    Vydáno v Information sciences (01.03.2018)
    “…). This algorithm utilize the mathematical connection between HMRF semi-supervised clustering and approximate weighted kernel k-means…”
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    Journal Article
  5. 5

    A Novel Approximate Spectral Clustering Algorithm With Dense Cores and Density Peaks Autor Cheng, Dongdong, Huang, Jinlong, Zhang, Sulan, Zhang, Xiaohua, Luo, Xin

    ISSN: 2168-2216, 2168-2232
    Vydáno: New York IEEE 01.04.2022
    “… This work presents a novel approximate spectral clustering based on dense cores and density peaks, called DCDP-ASC…”
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    Approximate k‐Nearest Neighbor Query Algorithm of Two‐Level Index Based on SOM Clustering in High‐Dimensional Space Autor Zhang, Liping, Hu, Yanming, Li, Sinian, Li, Song, Sun, Guanglu, jin, Haipeng

    ISSN: 1361-1682, 1467-9671
    Vydáno: Oxford Blackwell Publishing Ltd 01.11.2025
    Vydáno v Transactions in GIS (01.11.2025)
    “…ABSTRACT To address the limitations of traditional high‐dimensional AkNN (Approximate k‐nearest neighbor) query algorithms, which often overlook the data distribution issues, a novel method leveraging SOM…”
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    Journal Article
  8. 8

    HC_AB: A new heuristic clustering algorithm based on Approximate Backbone Autor Zong, Yu, Xu, Guandong, Jin, Ping, Zhang, Yanchun, Chen, Enhong

    ISSN: 0020-0190, 1872-6119
    Vydáno: Amsterdam Elsevier B.V 15.09.2011
    Vydáno v Information processing letters (15.09.2011)
    “… Since the clustering problem on numeric data sets can be formulated as a typical combinatorial optimization problem, many researches have addressed the design of heuristic algorithms for finding sub…”
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    Journal Article
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    Behavioral features recognition and oestrus detection based on fast approximate clustering algorithm in dairy cows Autor Tian, Fuyang, Cao, Dong, Dong, Xiaoning, Zhao, Xinqiang, Li, Fade, Wang, Zhonghua

    ISSN: 1755-1307, 1755-1315
    Vydáno: Bristol IOP Publishing 01.06.2017
    “… The fast approximate K-means algorithm (FAKM) was proposed to deal the data of the sensor for behavioral features recognition…”
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  10. 10

    Exact and approximate algorithms for clustering problem in wireless sensor networks Autor Yarinezhad, Ramin, Hashemi, Seyed Naser

    ISSN: 1751-8628, 1751-8636
    Vydáno: The Institution of Engineering and Technology 03.03.2020
    Vydáno v IET communications (03.03.2020)
    “…Clustering is an effective method for improving the network lifetime and the overall scalability of a wireless sensor network…”
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    Fast approximate minimum spanning tree based clustering algorithm Autor Jothi, R., Mohanty, Sraban Kumar, Ojha, Aparajita

    ISSN: 0925-2312, 1872-8286
    Vydáno: Elsevier B.V 10.01.2018
    Vydáno v Neurocomputing (Amsterdam) (10.01.2018)
    “…•A fast approximate minimum tree based clustering algorithm is proposed.•A novel centroid based nearest neighbor rule is presented…”
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    Journal Article
  13. 13

    An adaptive flocking algorithm for performing approximate clustering Autor Folino, Gianluigi, Forestiero, Agostino, Spezzano, Giandomenico

    ISSN: 0020-0255, 1872-6291
    Vydáno: Elsevier Inc 21.08.2009
    Vydáno v Information sciences (21.08.2009)
    “…This paper presents an approach based on an adaptive bio-inspired method to make state of the art clustering algorithms scalable and to provide them with an any-time behavior…”
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    Fast density clustering strategies based on the k-means algorithm Autor Bai, Liang, Cheng, Xueqi, Liang, Jiye, Shen, Huawei, Guo, Yike

    ISSN: 0031-3203, 1873-5142
    Vydáno: Elsevier Ltd 01.11.2017
    Vydáno v Pattern recognition (01.11.2017)
    “…•Propose an accelerated algorithm of density clustering by k-means.•Propose an approximate algorithm of density clustering by k-means…”
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    Approximate Clustering Algorithms for High Dimensional Streaming and Distributed Data Autor Carraher, Lee A

    ISBN: 0438096436, 9780438096431
    Vydáno: ProQuest Dissertations & Theses 01.01.2018
    “…) devices, social network interactions, e-commerce click-streams, scientific monitoring devices, and network traffic, noise robust and distributed clustering algorithms are necessary…”
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    Dissertation
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    A local algorithm to approximate the global clustering of streams generated in ubiquitous sensor networks Autor Rodrigues, Pedro Pereira, Araújo, João, Gama, João, Lopes, Luís

    ISSN: 1550-1477, 1550-1477
    Vydáno: London, England SAGE Publications 01.10.2018
    “… This article presents L2GClust, an algorithm to compute local clusterings at each node as an approximation of the global clustering…”
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    Troika algorithm: Approximate optimization for accurate clique partitioning and clustering of weighted networks Autor Aref, Samin, Ng, Boris

    ISSN: 2837-8830, 2837-8830
    Vydáno: 10.09.2025
    Vydáno v PLOS complex systems (10.09.2025)
    “…Clique partitioning is the fundamental network clustering task of identifying an optimal node partition for a weighted graph according to the real-valued edge weights…”
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    Quantum approximate optimization and k-means algorithms for data clustering Autor Saiphet, Jirawat, Suwanna, Sujin, Chotibut, Thiparat, Chantasri, Areeya

    ISSN: 1742-6588, 1742-6596
    Vydáno: Bristol IOP Publishing 01.01.2021
    Vydáno v Journal of physics. Conference series (01.01.2021)
    “… Quantum approximate optimization algorithm (QAOA) is a variational hybrid algorithm, which utilizes a NISQ device as a sub-unit for specific tasks and performs most calculations on a classical computer…”
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    A distributed approximate nearest neighbors algorithm for efficient large scale mean shift clustering Autor Beck, Gaël, Duong, Tarn, Lebbah, Mustapha, Azzag, Hanane, Cérin, Christophe

    ISSN: 0743-7315, 1096-0848
    Vydáno: Elsevier Inc 01.12.2019
    “… We introduce two contributions aiming to provide approximate Mean Shift clustering, based on scalable procedures to compute the density gradient ascent and cluster labeling, with a linear time…”
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