FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小，它是一种柔性的模糊划分，本文首先介绍了FCM算法的基本原理，然后针对于学生成绩信息进行模糊聚类分析，通过分析表明FCM方法在学生成绩数据挖掘方面是一个切实有效的好工具。

FCM algorithm is a clustering algorithm based on the partition，whose idea is that the objects divided into the same clusters are of the maximum similarity and the different clusters are of the minimum similarity．FCM algorithm is a flexible fuzzy partition．The article introduces the basic theory of FCM algorithm at first，and then analyzes the information of student achievements by using the fuzzy clustering method．The analysis shows that FCM algorithm is an effective and good tool in data mining of student achievements．