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用模糊K均值聚类分析研究茶叶分类
引用本文:申明金.用模糊K均值聚类分析研究茶叶分类[J].广西民族学院学报(自然科学版),2005,11(3):82-84.
作者姓名:申明金
作者单位:川北医学院化学教研室,四川南充637000
摘    要:选用茶叶的6个化学参数,运用模糊K均值聚类分析方法进行分类研究,得到了比判别分析等其他方法更为丰富的信息,有利于对分析结果进行研究,是一种具有优势的模式识别方法.

关 键 词:模糊K均值聚类分析  模式识别  目标函数  茶叶分类
收稿时间:2005-01-20

Study on the Classification of Tea with Fuzzy Analysis of K-mean Cluster
SHENG Ming-jin.Study on the Classification of Tea with Fuzzy Analysis of K-mean Cluster[J].Journal of Guangxi University For Nationalities(Natural Science Edition),2005,11(3):82-84.
Authors:SHENG Ming-jin
Institution:Department of chemistry North Sichuan Medical College, Nanchong 63700 ,China
Abstract:Based on six chemistry parameters , fuzzy analysis of k-mean cluster is applied into the classification of tea. The information provided by the above method is much than discriminant analysis and other methods and is convenient for result analysis. The result shows this method is an efficient tool of pattern recognition.
Keywords:fuzzy analysis of k-mean cluster  pattern recognition  target function  classification of tea
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