聚类分析中相似性测量方法的研究

Researches into the Methods of Similarity Measurement in the Clustering Analysis

聚类是数据挖掘中的主要方法，讨论了在大多数聚类算法中的相似性测量方法，并以属性的类型作为选择相似的标准，阐述了用于数值属性，符号属性及混合属性相似性测量方法。

Clustering is a major method of data mining.This paper discusses the methods of similarity measurement of most clustering algorithms,and taking the type of attribute as a standard of choosing similarity,it expounds the methods used to measure numerical attribute,categorical attribute and mixed attribute.