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.
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.
出处
《广西民族学院学报（自然科学版）》
CAS
2005年第3期82-84,共3页
Journal of Guangxi University For Nationalities(Natural Science Edition)
关键词
模糊K均值聚类分析
模式识别
目标函数
茶叶分类
fuzzy analysis of k-mean cluster
pattern recognition
target function
classification of tea
