Fuzzy c-Means Clustering Algorithm

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,analyzes its advantages and existing problems.Results show that this algorithm is simple in design,can be widely used,but there are still some problems in it,and therefore,it is necessary to be studied further.