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土壤分类的模糊集成算法与应用
引用本文:宋明娟,张娜.土壤分类的模糊集成算法与应用[J].数学的实践与认识,2011,41(23).
作者姓名:宋明娟  张娜
作者单位:1. 黑龙江科技学院理学院,黑龙江哈尔滨,150027
2. 黑龙江科技学院资源与环境工程学院,黑龙江哈尔滨,150027
基金项目:黑龙江省教育厅科学技术研究项目(11511347)
摘    要:土壤是一个多性状的连续体,其分类的首选方法是模糊聚类分析.但是模糊聚类分析中现有的基于模糊等价关系的动态聚类法和模糊c-均值法各有利弊,采用其中一种方法聚类肯定存在不足.为此集成两种聚类方法的优点,避其缺点,提出了用基于模糊等价关系的动态聚类方法和方差分析方法确定聚类数目和初始聚类中心,再用模糊c-均值法决定最终分类结果的集成算法,并将其应用到松花江流域土壤分类中,得到了较为切合实际的分类结果.

关 键 词:土壤分类  基于等价关系的模糊聚类  模糊c-均值聚类  方差分析  模糊聚类的集成算法

Fuzzy Clustering Integrated Algorithm and Application in Soil Classification
SONG Ming-juan,ZHANG Na.Fuzzy Clustering Integrated Algorithm and Application in Soil Classification[J].Mathematics in Practice and Theory,2011,41(23).
Authors:SONG Ming-juan  ZHANG Na
Institution:SONG Ming-juan~1,ZHANG Na~2 (1.College of Science and Technology,Science Academy of Heilongjiang,Harbin 150027,China) (2.Collele of Science and Technology,Resoures and Environmental Engineering of Heilongjiang,China)
Abstract:Summary of soil is a multi-trait continuum,the preferred method of soil classification is fuzzy cluster analysis.However,the fuzzy dynamic clustering analysis based on equivalence relations and fuzzy c-means clustering analysis have thier advantages and disadvantages, we can't use only one of them to cluster.In this paper,we integrate the advantages of both clustering methods,avoid thier shortcomings,propose a fuzzy clustering integrated algorithm that the number of clusters and initial cluster centers is d...
Keywords:soil classification  fuzzy clustering based on equivalence relations  fuzzy c-means clustering  variance analysis  fuzzy clustering integrated algorithm  
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