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Density Adjusted Spectral Clustering Algorithm Based on Neighborhood Standard Deviation
INTERNET OF THINGS | 更新时间:2025-03-21
    • Density Adjusted Spectral Clustering Algorithm Based on Neighborhood Standard Deviation

    • In the field of clustering algorithms, researchers have proposed an initial class center decision value selection method based on density peak and a density adjusted spectral clustering algorithm, which effectively solve the problems of scale parameter setting and unstable clustering results, providing a new solution for large-scale dataset clustering analysis.
    • Advanced Engineering Sciences   Vol. 57, Issue 2, Pages: 40-53(2025)
    • DOI:10.12454/j.jsuese.202300821    

      CLC: TP391
    • Received:20 October 2023

      Revised:2024-01-10

      Published Online:30 May 2024

      Published:20 March 2025

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  • Guo Xiaoyu,Liu Jinjin,Chen Yajun,et al.Density adjusted spectral clustering algorithm based on neighborhood standard deviation[J].Advanced Engineering Sciences,2025,57(2):40–53 DOI: 10.12454/j.jsuese.202300821.

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