S. Zhang, G. , and G. , Research of precision agriculture automatic variable fertilization theory and technology based on, pp.1-3, 2003.

L. Chen, Theoretical and Experimental Studies on Variable-rate Fertilization in Precision Farming, pp.98-104, 2003.

J. Xiang, F. Qiang, and W. Zilong, Applied research progress of spatial variability theoretical in soil properties analyis[J]. Soil and Water Conservation study, pp.250-253, 2008.

Z. Enlai, H. Wenning, L. Hang, and R. Yu, Zhu yaohua.Compression Algorithm of Beidou Position Redundant Data Based on Time Series Clustering, Computer Engineering, vol.2, pp.40-42, 2012.

G. Chen, Research and Application of Spatial Data Mining Technology for Precision Agriculture, 2009.

F. Gao-xiaomei-feng-yun and . Xingjie, Incremental -K Medoids clustering algorithm, Computer engineering, issue.73l, pp.181-183, 2005.

K. Leung, W. Ng, and D. Lee, Personalized Concept-Based Clustering of Search Engine Queries, IEEE Transactions on Knowledge and Data Engineering, vol.20, issue.11, pp.20-1505, 2008.
DOI : 10.1109/TKDE.2008.84

. Deng-min, . Liu-qiliang, . Wang-jia-qiu, and . Shi-yan, A general method of spatiotemporal clustering analysis, SCIENCE CHINA PRESS, vol.42, issue.1, pp.111-124, 2012.

L. Xiang, P. Yu-chun, and Z. Chunjiang, Precision agriculture management zones based on spatial continuity of the clustering algorithm, Agricultural Engineering Journal, vol.21, issue.8, pp.78-82, 2005.

Z. Li and C. He, A large data set suitable for feature selection method, Computer Science, vol.33, issue.4, pp.184-186, 2007.

C. Jian and L. Qiang, Quick association rules mining algorithm based on a large dense database of vertical data step, Computer Science, vol.201239, issue.1, pp.134-137151

J. Hu, D. Li, Q. Duan, Y. Han, and G. Chen, A Fuzzy C-Means Clustering Based Algorithm to Automatically Segment Fish Disease Visual Symptoms, Sensor Letters, vol.10, issue.1, pp.1-8, 2012.
DOI : 10.1166/sl.2012.1840

J. Hu, D. Li, Q. Duan, Y. Han, and G. Chen, A Fuzzy C-Means Clustering Based Algorithm to Automatically Segment Fish Disease Visual Symptoms, Sensor Letters, vol.10, issue.1, pp.1-8, 2012.
DOI : 10.1166/sl.2012.1840

Z. Yueling, . Han-haiyan, C. Cao-liying, and . Guifen, Study on Soil Nutrients Spatial Variability in YuShu City, Computer and Computing Technologies in Agriculture, issue.2, pp.1-7, 2012.

G. Chen, L. Tsao, and G. Wang, Application of weighted spatial fuzzy clustering algorithm in soil fertility evaluation, Chinese Agricultural Science, pp.423559-3563, 2009.

B. E. and J. In, A clustering performance measure based on fuzzy set decomposition, IEEE Trans on Pattern Analysis and Ma chine Intelligence, vol.3, issue.1, p.66277, 1981.

Y. Li, Z. Shi, C. Wu, F. Li, and J. Cheng, Definition of Management Zones Based on Fuzzy Clustering Analysis in Coastal Saline Land, Scientia Agricultura Sinica, vol.40, issue.1, pp.114-122, 2007.

Y. Helong, L. Dayou, and C. Guifen, Determination of the Soil Nutrient Management Zones Based on Weighted Fuzzy Clustering.Transactions of the Chinese Society for Agricultural Machinery, pp.177-182, 2009.

B. Xiaoming and X. Shijun, The implementation and application of mathematical experiment system based on MATLAB, 2012.

M. Umeda, T. Kaho, I. Michihisa, C. Keun, and L. , Effect of variable rate fertilizing for paddy field, ASAE annual international meeting, 2001.