Computer Science ›› 2013, Vol. 40 ›› Issue (Z11): 412-414.

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Analysis and Research of the Soil Fertility Status Based on Improved DBSCAN Algorithm

GUO Wan-chun,CAI Li-xia,CHEN Hang and CHEN Gui-fen   

  • Online:2018-11-16 Published:2018-11-16

Abstract: Typically DBSCAN algorithm based on density can effectively deal with clusters of arbitrary shape,but the algorithm is not a comprehensive analysis of soil fertility,Since temporal data have obvious differences.To solve this problem,this paper proposes a method to analyze the situation of soil fertility in nong’an town based on improved DBSCAN algorithm.First,using AHP to get the weight of each property in order to balance the differences between the data;Secondly,the improved DBSCAN algorithm apply to analyze the data of soil fertility,and the experimental results with traditional DBSCAN algorithm were compared.Experimental results show that the improved DBSCAN algorithm more quickly and efficiently for selecting the two parameters Eps and minPts,it has better clustering results.

Key words: AHP,DBSCAN algorithm,Soil fertility,Weights

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