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数据挖掘中聚类算法比较研究 被引量:35

THE COMPARISON OF CLUSTERING METHODS IN DATA MINING
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摘要 聚类算法是数据挖掘的核心技术,本文综合提出了评价聚类算法好坏的5个标准,基于这5个标准,对数据挖掘中常用聚类算法作了比较分析,以便于人们更容易、更快捷地找到一种适用于特定问题的聚类算法。 Clustering method is the core of data mining technology.In this paper,five standards were put forward which are used to evaluate these clustering methods.These clustering methods were compared and analyzed according to the standards so that people can easily and quickly find a clustering method that suit a special problem.
出处 《计算机应用与软件》 CSCD 北大核心 2003年第2期5-6,77,共3页 Computer Applications and Software
基金 国家博士后科研基金 辽宁省博士启动基金(2000014512)
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