模糊K均值聚类分析在化合物酸碱性分类研究中的应用

Application of Fuzzy of K-mean Cluster Analysis on the Classification Research of Acid-base Properties of Compounds

选用化合物中影响酸碱性的5个参数,运用模糊K均值聚类分析方法对化合物进行酸碱性分类研究,得到了比判别分析等方法更为丰富的信息,有利于对分析结果进行研究.结果表明,模糊K均值聚类分析既能聚类,又能进行判别,是一种具有优势的模式识别方法.

Based on choosing five parameters which influence acid- base properties, fuzzy of K- mean cluster analysis is applied into the classification of acid - base properties of compound. The information provided by fuzzy of K- mean cluster analysis is much than discriminant analysis and other methods and it convenient for studying the result of analysis. The result shows this method is an efficient tool of pattern recognition, it can be used to cluster and discriminant.