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A P system for hierarchical clustering

Author

Listed:
  • Ping Guo

    (College of Computer Science, Chongqing University, Shazhengjie. 174, 400044 Chongqing, P. R. China)

  • Wenjie Jiang

    (College of Computer Science, Chongqing University, Shazhengjie. 174, 400044 Chongqing, P. R. China)

  • Yuchi Liu

    (College of Computer Science, Chongqing University, Shazhengjie. 174, 400044 Chongqing, P. R. China)

Abstract

Membrane computing, also known as P system, is a distributed and parallel computation framework models. Hierarchical clustering is one of the most basic and widely applied clustering algorithms among all clustering algorithms. In this paper, the combination of membrane computing and hierarchical clustering algorithm is studied. A cell-like hierarchical clustering P system with priority evolution rules and promoters is designed by using the maximum parallelism of membrane computing. The feasibility and effectiveness of the designed P system are verified by the examples.

Suggested Citation

  • Ping Guo & Wenjie Jiang & Yuchi Liu, 2019. "A P system for hierarchical clustering," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 30(08), pages 1-14, August.
    • Handle: RePEc:wsi:ijmpcx:v:30:y:2019:i:08:n:s0129183119500621
    DOI: 10.1142/S0129183119500621
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    Cited by:

    1. Lin Wang & Xiyu Liu & Jianhua Qu & Yuzhen Zhao & Zhenni Jiang & Ning Wang, 2022. "An Extended Membrane System Based on Cell-like P Systems and Improved Particle Swarm Optimization for Image Segmentation," Mathematics, MDPI, vol. 10(22), pages 1-32, November.

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