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An improved clustering method for uncertain system

Author

Listed:
  • Jingjing Ye

    (School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, P. R. China)

  • Keping Li

    (#x2020;State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, P. R. China)

  • Jing Li

    (#x2020;State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, P. R. China)

Abstract

Uncertain system clustering is an important issue which is the base for mining real-world data in many fields. In this paper, we investigate the clustering problem of uncertain system, and propose an improved clustering algorithm. Here, our improved algorithm considers not only distance but also spatial direction in vector space of data points. The aim is to improve the accuracy of uncertain system clustering, especially when there exists overlap among border region of groups in vector space. Experiment results show that for uncertain physics systems, the improved algorithm can well increase the accuracy of uncertain system clustering compared with the traditional clustering method which is based on distance similarity. Maximum value of accuracy and f-measure are increased by 21.1% and 13.3%, respectively. Moreover, the proposed algorithm has high robustness for noise.

Suggested Citation

  • Jingjing Ye & Keping Li & Jing Li, 2019. "An improved clustering method for uncertain system," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 30(09), pages 1-13, September.
    • Handle: RePEc:wsi:ijmpcx:v:30:y:2019:i:09:n:s0129183119500761
    DOI: 10.1142/S0129183119500761
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    Cited by:

    1. Kim, Min Jae & Kim, Tong Seop & Flores, Robert J. & Brouwer, Jack, 2020. "Neural-network-based optimization for economic dispatch of combined heat and power systems," Applied Energy, Elsevier, vol. 265(C).
    2. Tunis, Sean & Hanna, Eve & Neumann, Peter J. & Toumi, Mondher & Dabbous, Omar & Drummond, Michael & Fricke, Frank-Ulrich & Sullivan, Sean D. & Malone, Daniel C. & Persson, Ulf & Chambers, James D., 2021. "Variation in market access decisions for cell and gene therapies across the United States, Canada, and Europe," Health Policy, Elsevier, vol. 125(12), pages 1550-1556.

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