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Density peaks clustering with second-order K-nearest neighbors and multi-cluster merging
更新时间：2025-05-26

    • Density peaks clustering with second-order K-nearest neighbors and multi-cluster merging

    • “In the field of manifold data clustering, researchers have proposed the DPC-SKMM algorithm, which effectively solves the problems of cluster center identification and sample allocation, providing a new direction for manifold data clustering research.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 5, Pages: 1417-1425(2024)
    • 作者机构：

      1.南昌工程学院 信息工程学院，南昌 330099

      2.南昌工程学院 南昌市智慧城市物联感知与协同计算重点实验室，南昌 330099

    • DOI：10.13229/j.cnki.jdxbgxb.20220779    

      CLC： TP301.6

    • Received：20 June 2022，

      Published：01 May 2024

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  • LYU Li,ZHU Mei-zi,KANG Ping,et al.Density peaks clustering with second-order K-nearest neighbors and multi-cluster merging[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(05):1417-1425. DOI： 10.13229/j.cnki.jdxbgxb.20220779.

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