：随着数据信息的积累，如何从这些海量信息中有效地提取所需要的知识成为当前数据挖掘的重要内容。聚类作为数据挖掘的重要工具，通过将数据划分成多个类，使得类内数据尽可能相似，而类间数据的相似度尽可能小，已成为研究热点。本文总结在数据挖掘中的聚类算法，针对聚类中所存在的问题-: With the accumulation of data, and how information from these massive effectively extract the knowledge needed to become an important part of data mining. Clustering as an important data mining tool, data is divided into multiple classes, making classes as similar as possible within the data, and the similarity of data between classes as small as possible, has become a hot topic. This article summarizes the clustering in data mining algorithms for clustering problems in the