数据挖掘领域中的聚类方法

Clustering Algorithm in Data Mining

聚类算法是数据挖掘中的核心技术,随着对聚类算法广泛深入的研究,产生了许多不同的适用于数据挖掘的聚类算法;文章从算法的角度论述了如何在数据挖掘中进行聚类分析,并通过基于评价聚类算法好坏的8个标准,对数据挖掘中近几年提出的常用聚类方法作了比较分析,以利于人们更容易、更快速的找到一种适用于特定问题的聚类算法.

Clustering algorithm is the key technology in data mining. Along with extensive and in-depth research of it, lots of different methods applicable to the data mining has emerged. The article provides a survey of the application of clustering algorithm in data mining. In order to find out a clustering algorithm for the particular problem more easily and more fast, the article compares and analyzes some commonly used methods advanced in recent years, based on 8 evaluate standards.