Application of Improved K-Means Algorithm Density in the Grades of Cultivated Land Fertility Evaluation

Li Ying Cao; He Long Yu; Gui Fen Chen; Ting Ting Yang

doi:10.4028/www.scientific.net/AMM.644-650.2047

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Application of Improved K-Means Algorithm Density...

Application of Improved K-Means Algorithm Density in the Grades of Cultivated Land Fertility Evaluation

Abstract:

precision agriculture, soil fertility evaluation is the foundation of variable rate fertilization, the initial clustering centers of K means algorithm soil fertility levels in the traditional evaluation methods generated randomly from the data set, the clustering result is not stable. This paper proposes an improved K-means algorithm density algorithm to optimize the initial clustering center selection algorithm based on K, the most far away to each other in high density region point as the initial cluster center. Experiments show that, the improved K-means algorithm can eliminate the dependence on the initial cluster center; the clustering result has been greatly improved.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

2047-2050

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.2047

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Cite this paper

Online since:

September 2014

Authors:

Li Ying Cao*, He Long Yu, Gui Fen Chen, Ting Ting Yang

Keywords:

Fertility Evaluation, Initial Cluster Center, K-Clustering, K-Means Algorithm

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* - Corresponding Author

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