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

Naiqi Song; Jintun Zhang

doi:doi:10.11648/j.acis.20170505.13

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

Naiqi Song, Jintun Zhang

Published in Automation, Control and Intelligent Systems (Volume 5, Issue 5)

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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APA Style

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
PY  - 2017
N1  - https://doi.org/10.11648/j.acis.20170505.13
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
SP  - 73
EP  - 77
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

Naiqi Song

School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
Jintun Zhang

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

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APA Style

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}
}

Copy | Download

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
PY  - 2017
N1  - https://doi.org/10.11648/j.acis.20170505.13
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
SP  - 73
EP  - 77
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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