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An efficient global K-means clustering algorithm based on weighted space partitioning
更新时间：2025-05-26

    • An efficient global K-means clustering algorithm based on weighted space partitioning

    • “In the field of clustering algorithms, researchers have proposed an efficient global K-means clustering algorithm based on weighted spatial partitioning, which effectively improves computational efficiency and enhances the stability of clustering results.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 5, Pages: 1393-1400(2024)
    • 作者机构：

      1.长春理工大学 计算机科学技术学院，长春 130022

      2.吉林电子信息职业技术学院，吉林省 吉林市 132021

      3.吉林农业大学 信息技术学院，长春 130118

    • DOI：10.13229/j.cnki.jdxbgxb.20221338    

      CLC： TP391

    • Received：18 October 2022，

      Published：01 May 2024

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  • QU Fu-heng,PAN Yue-tao,YANG Yong,et al.An efficient global K-means clustering algorithm based on weighted space partitioning[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(05):1393-1400. DOI： 10.13229/j.cnki.jdxbgxb.20221338.

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