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Peak clustering algorithm for uncertain data density based on JS divergence
更新时间：2024-08-05

    • Peak clustering algorithm for uncertain data density based on JS divergence

    • “In the field of uncertain data processing, researchers have proposed the UDPC-JS clustering algorithm for uncertain data density peaks based on JS divergence, which effectively improves the parameter sensitivity and clustering performance of traditional algorithms, especially in processing complex manifold datasets.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 7, Pages: 2038-2048(2024)
    • 作者机构：

      1.哈尔滨理工大学 计算机科学与技术学院，哈尔滨 150080

      2.奇安信科技集团股份有限公司 战略研究部，北京 100088

    • DOI：10.13229/j.cnki.jdxbgxb.20221161    

      CLC： TP311

    • Received：08 September 2022，

      Published：01 July 2024

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  • LI Song,LIU Xiao-nan,LIU Juan.Peak clustering algorithm for uncertain data density based on JS divergence[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(07):2038-2048. DOI： 10.13229/j.cnki.jdxbgxb.20221161.

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