对近年来聚类算法的研究现状与新进展进行归纳总结.一方面对近年来提出的较有代表性的聚类算法,从算法思想、关键技术和优缺点等方面进行分析概括 另一方面选择一些典型的聚类算法和一些知名的数据集,主要从正确率和运行效率两个方面进行模拟实验,并分别就同一种聚类算法、不同的数据集以及同一个数据集、不同的聚类算法的聚类情况进行对比分析.最后通过综合上述两方面信息给出聚类分析的研究热点、难点、不足和有待解决的一些问题.上述工作将为聚类分析和数据挖掘等研究提供有益的参考.-Status and Progress of research in recent years clustering algorithm summarized on one hand, in recent years raised more representative of the clustering algorithm, the algorithm thinking, key technology and other aspects of the study outlines the advantages and disadvantages　on the other hand　some typical clustering algorithms and some well-known data sets, mainly for simulation accuracy and efficiency　two aspects, respectively, on the same kind of clustering algorithm, different data sets and data set with a different poly Comparative analysis of clustering algorithms is the class situation. Finally, clustering analysis by combining the above two information hotspot, difficulties, shortcomings and problems to be solved. above work for cluster analysis and data mining research provide useful reference.