Fuzzy clustering is a powerful unsupervised method for the analysis of data and construction of models. This paper presents an overview of fuzzy clustering and do some study of fuzzy c-means clustering algorithm in terms of theory and experiment. This algorithm is simple in design, can be widely used. But it is easy to catch in local extreme points in application. Therefore, it is necessary to be studied further.