您当前的位置:
首页 >
文章列表页 >
Design of fuzzy clustering algorithm for massive cloud data based on density peak
更新时间:2025-05-26
    • Design of fuzzy clustering algorithm for massive cloud data based on density peak

    • Report: The latest research proposes a fuzzy clustering algorithm for massive cloud data based on density peaks, effectively improving clustering effectiveness and efficiency.
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 5, Pages: 1401-1406(2024)
    • 作者机构:

      1.中原工学院 中原彼得堡航空学院,郑州 450007

      2.北京理工大学 计算机学院,北京 100081

      3.中国科学院 软件研究所集成创新中心,北京 100080

    • DOI:10.13229/j.cnki.jdxbgxb.20230120    

      CLC: TP391
    • Received:09 February 2023

      Published:01 May 2024

    移动端阅览

  • ZHANG Xi-guang,ZHANG Long-fei,MA Yu-xi,et al.Design of fuzzy clustering algorithm for massive cloud data based on density peak[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(05):1401-1406. DOI: 10.13229/j.cnki.jdxbgxb.20230120.

  •  
  •  

0

Views

8

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Performance prediction of porous concrete based on neural network and regression analysis
Intelligent compaction quality assessment of earth-rock dams considering small samples uncertainty
Temperature control of proton exchange membrane fuel cell thermal management system based on APSO-BP-PID control strategy
Internal surface treatment of gas-liquid-solid technology based on improved neural network and Fluent
Integrated LSTM and ARIMA method based on attention model for soil temperature

Related Author

ZHENG Mu-lian
QU Guang-lei
YUAN Yue-ming
LIU Hong
YAN Zong-wei
ZHAO Yu-fei
ZHANG Qing-long
MA Rui

Related Institution

Shandong High Speed Linteng Highway Co., Ltd.
Key Laboratory for Special Area Highway Engineering of Ministry of Education, Chang'an University
Key Laboratory of Construction and Safety of Water Engineering of the Ministry of Water Resources,China Institute of Water Resources and Hydropower Research
State Key Laboratory of Hydroscience and Engineering,Tsinghua University
China Electric Power Planning and Engineering Institute
0