关键词: 利用代表点聚类（CURE）算法, 聚类分析, 用户兴趣, 个性化

Abstract: The target of cluster analysis of Web log is to obtain visiting pattern of user’s interests, and provide customized personalization service for various user groups. Since the raw CURE with the weaknesses of randomness in selecting representative point and insufficiency in reflecting user interest and preference, this paper presents an improved use clustering algorithm in order to clustering user by retrieving main attributes of element with user outstanding features, and to provide initial class sets for merging small classes. The experimental results prove that it can obtain a better cluster result with this method.

Key words: Clustering Using Representative（CURE） algorithm, cluster analysis, users interests, personalization