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Fuzzy C-means Clustering Applied to the Classification of Glycyrrhiza uralensis Communities in North China

Received: 16 November 2017     Published: 20 November 2017
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Abstract

Fuzzy C-means clustering is a soft technique and has some advantages in ecological studies. Glycyrrhiza uralensis is an endangered medicinal plant species and mainly distributed in North China. Species data of 100 plots of 5 m x 5 m from semi-arid and arid regions in North China were analyzed by fuzzy C-means clustering. A hundred plots were classified into 12 vegetation formations by fuzzy C-means clustering. These formations were main communities dominated by Glycyrrhiza uralensis in North China. Each formation has its own composition, structure, distribution range and environment, and all of them should be protected effectively. The results suggest that fuzzy C-means clustering is an useful technique for classification of plant community.

Published in Automation, Control and Intelligent Systems (Volume 5, Issue 5)
DOI 10.11648/j.acis.20170505.13
Page(s) 73-77
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Fuzzy Set Theory, Numerical Classification, Licorice, Medicinal Plant, Ecological Conservation

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    Naiqi Song, Jintun Zhang. (2017). Fuzzy C-means Clustering Applied to the Classification of Glycyrrhiza uralensis Communities in North China. Automation, Control and Intelligent Systems, 5(5), 73-77. https://doi.org/10.11648/j.acis.20170505.13

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    ACS Style

    Naiqi Song; Jintun Zhang. Fuzzy C-means Clustering Applied to the Classification of Glycyrrhiza uralensis Communities in North China. Autom. Control Intell. Syst. 2017, 5(5), 73-77. doi: 10.11648/j.acis.20170505.13

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    AMA Style

    Naiqi Song, Jintun Zhang. Fuzzy C-means Clustering Applied to the Classification of Glycyrrhiza uralensis Communities in North China. Autom Control Intell Syst. 2017;5(5):73-77. doi: 10.11648/j.acis.20170505.13

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  • @article{10.11648/j.acis.20170505.13,
      author = {Naiqi Song and Jintun Zhang},
      title = {Fuzzy C-means Clustering Applied to the Classification of Glycyrrhiza uralensis Communities in North China},
      journal = {Automation, Control and Intelligent Systems},
      volume = {5},
      number = {5},
      pages = {73-77},
      doi = {10.11648/j.acis.20170505.13},
      url = {https://doi.org/10.11648/j.acis.20170505.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20170505.13},
      abstract = {Fuzzy C-means clustering is a soft technique and has some advantages in ecological studies. Glycyrrhiza uralensis is an endangered medicinal plant species and mainly distributed in North China. Species data of 100 plots of 5 m x 5 m from semi-arid and arid regions in North China were analyzed by fuzzy C-means clustering. A hundred plots were classified into 12 vegetation formations by fuzzy C-means clustering. These formations were main communities dominated by Glycyrrhiza uralensis in North China. Each formation has its own composition, structure, distribution range and environment, and all of them should be protected effectively. The results suggest that fuzzy C-means clustering is an useful technique for classification of plant community.},
     year = {2017}
    }
    

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  • TY  - JOUR
    T1  - Fuzzy C-means Clustering Applied to the Classification of Glycyrrhiza uralensis Communities in North China
    AU  - Naiqi Song
    AU  - Jintun Zhang
    Y1  - 2017/11/20
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    DO  - 10.11648/j.acis.20170505.13
    T2  - Automation, Control and Intelligent Systems
    JF  - Automation, Control and Intelligent Systems
    JO  - Automation, Control and Intelligent Systems
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    PB  - Science Publishing Group
    SN  - 2328-5591
    UR  - https://doi.org/10.11648/j.acis.20170505.13
    AB  - Fuzzy C-means clustering is a soft technique and has some advantages in ecological studies. Glycyrrhiza uralensis is an endangered medicinal plant species and mainly distributed in North China. Species data of 100 plots of 5 m x 5 m from semi-arid and arid regions in North China were analyzed by fuzzy C-means clustering. A hundred plots were classified into 12 vegetation formations by fuzzy C-means clustering. These formations were main communities dominated by Glycyrrhiza uralensis in North China. Each formation has its own composition, structure, distribution range and environment, and all of them should be protected effectively. The results suggest that fuzzy C-means clustering is an useful technique for classification of plant community.
    VL  - 5
    IS  - 5
    ER  - 

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Author Information
  • School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China

  • College of Life Sciences, Beijing Normal University, Beijing, China

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