关键词: 加权欧氏距离, 复相关系数, 聚类分析, 权重

Abstract: Euclid distance is commonly used to measure distance in clustering analysis algorithm. The clustering analysis based on weighted Euclid distance is researched and presented to overcome the existing problems of similarity calculation in clustering analysis based on traditional Euclid distance when we have no any domain knowledge about the data objects. The experiment shows that the method has not only to certain extent overcome limitation of Euclid distance, but also been improving the clustering quality and optimizing performance.

Key words: weighted Euclid distance, compound correlation coefficient, clustering analysis, weight