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 Accepted: 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), 2024. Published by Science Publishing Group

Keywords

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

References

[1]	Greig-Smith P. Quantitative plant ecology. 3rd edition. Blackwell Scientific Publications, London, 1-311, 1983.
[2]	Kaufmann A. Introduction to the theory of fuzzy subsets: Vol. 1: foundamental theoretical elements. Academic Press, London, 1975.
[3]	Sarbu C, Zwanziger HW. Fuzzy classification and comparison of some Romanian and German mineral waters. Analytical Letters, 2001, 34: 1541-1552.
[4]	Zhang J-T, Zhang B, Qian ZY. Functional diversity of Cercidiphyllum japonicum, communities in the Shennongjia Reserve, central China. Journal of Forestry Research, 2015, 26(1): 171–177.
[5]	Bezdek J C. Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum Press, New York, 1981.
[6]	Podani J. Introduction to the Exploration of Multivariate Biological Data. Leiden: Backhuys Publishers, 2000.
[7]	Zhang J-T. Quantitative ecology (2nd edition), Beijing: Science Press. (In Chinese), 2011.
[8]	Zhou CM. The outline of the normative Cultivation Techniques for Glycyrrhiza uralensis. Research and Information on Traditional Chinese Medicine, 2003, 5(2): 25-28.
[9]	Hussain S, Hore DK. Collection and conservation of major medicinal pants of Darjeeling and Sikkim Himalayas. Indian Journal of Traditional Knowledge, 2007, 6: 352-357.
[10]	Zhou CM. Cultivation Techniques for Glycyrrhiza uralensis. Xinjiang Farmland Reclamation Science and Technology, 2006, 15 (1): 14-15.
[11]	Nautiyal BP, Nautiyal MC, Khanduri VP, Rawat N. 2009. Floral Biology of Aconitum heterophyllum Wall: A Critically Endangered Alpine Medicinal Plant of Himalaya, India. Turkish Journal of Botany, 33: 13-20
[12]	Kate KT, Laird SA. The commercial use of biodiversity. Earthscan Publications Ltd., London, 1999.
[13]	Larsen HO, Olsen CS. Unsustainable collection and unfair trade? Uncovering and assessing assumptions regarding Central Himalayan medicinal plant conservation. Biodiversity and Conservation, 2007, 16: 1679-1697.
[14]	Ji YB, Jiang W, Fan YL. Advance in studies on flavonoids of licorice. Chinese Traditional Herb Drugs, 2004, 35(9): 5-6.
[15]	Hu JF，Shen FJ． Structure of a new alkaloid from the roots of Glycyrrhiza yunnanensis．Chemistry Journal of Chinese University, 1995, 16(8): 1245-1247.
[16]	Zhang JH, Yao J, Yang YL. Analysis and menstruate contents of alkaloid in licorice．Acta Botanica Boreal- Occidenta Sinica, 2001, 21(5): 1259-1262.
[17]	Giraudel JL, Aurelle D, Lek S. Application of the self-organizing mapping and fuzzy clustering microsatellite data: how to detect genetic structure in brown trout (Salmo trutta) populations. In: Lek S., Gueguan J. F. (Eds.), Artificial Neuronal Networks: Application to Ecology and Evolution, Environmental Science. Springer, Berlin. 2000.
[18]	Zhang J-T, Li M，Nie EB. Pattern of functional diversity along an altitudinal gradient in the Baihua Mountain Reserve of Beijing, China. Brazilian Journal of Botany, 2014, 37: 37-45.
[19]	ter Braak CJF, Šmilauer P. CANOCO Reference Manual and User's Guide to Canoco for Windows. Software for Canonical Community Ordination (version 4.5). Centre for Biometry Wageningen (Wageningen, NL) and Microcomputer Power (Ithaca NY, USA), pp. 352, 2001.
[20]	Pan BR, Zhang YM. Characteristics and conservation of biodiversity in Xinjiang. Science in China Series D – Earth Sciences, 2002, 45 (Suppl.): 174-179.
[21]	Wu ZY (ed). Vegetation of China. Science Press, Beijing, 1980.
[22]	Zhang J-T, Xu B, Li M. Diversity of communities dominated by Glycyrrhiza uralensis, an endangered medicinal plant species, along a precipitation gradient in China. Botanical Studies, 2011, 52: 493-501.
[23]	Zhang J-T. A study on relations of vegetation, climate and soils in Shanxi province, China. Plant Ecology, 2002, 162(1): 23-31.
[24]	Paschke MW, Redente E F, Brown S L. Biology and establishment of mountain shrubs on mining disturbances in the Rocky Mountains, USA. Land Degradation & Development, 2003, 14 (5): 459-480.
[25]	Shen T, Fu T, Yang G. Relationship between Hybrid Performance and Genentic Diversity Based on SSRs and ISSRs in Brassicanapus. Agricultural Science in China, 2003, 2 (10): 1083-1090.
[26]	Glaser B, Turrion M-B, Solomon D, Ni A, Zech W. Soil organic matter quantity and quality in mountain soils of the Alay Range, Kyrgyzia, affected by land use change. Biology and Fertility of Soils, 2000, 31 (5): 407-413.
[27]	Zhao ZH, Cao JG, Li QY. Study of variety trends of flavonoids in Glycyrrhiza uralensis in the west of Heilongjiang, China. Bulletin Botanical Research, 2004, 24(2): 235-239.
[28]	Sadia S, Zhang J, Tariq A, Bai XH, Shedayi A, Cao K, Mazari P, Aslam S, Ahmad L. Species diversity, vegetation pattern and conservation of Gentiana macrophylla Pall. Communities in Dongling Mountain meadow, Beijing, China. Pakistan Journal of Botany, 2017, 49(5): 1725-1734.
[29]	Song NQ, Zhang J, Zhao FG. The PCA index for measuring functional diversity and its application to Juglans mandshurica communities in the Beijing mountains, China. International Journal of Biomathematics, 2017, 10(7): 1750097 (13 pages).

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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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