【摘要】 聚类分析是近年来迅速发展起来的一种新兴的数据处理技术,它在许多领域有着广泛的应用,尤其是在数据挖掘领域。首先阐述了聚类分析的基本概念和分类,然后针对目前几类主要的聚类分析方法,重点分析了基于密度的DBSCAN算法,基于层次的BIRCH算法以及基于网格的Wave Cluster算法这三种具有代表性的聚类方法,分析了它们的优缺点和时间复杂度。最后提及了聚类分析方法的应用范围以及今后需要解决的问题和发展方向。更多还原

【Abstract】 Clustering is a kind of new technology of data processing which is applied to many fields, especially in data mining.Firstly,the concept of clustering is offered;secondly,there are three important clustering algorithms are analysed,which are DBSCAN, BIRCH and WaveCluster,they are the representative methods of clustering analysis,the time complexity of theirs is also analysed.Finally,the application of clustering is mentioned,and the future of clustering is viewed.更多还原