In this paper, we firstly defined the classified weight according to the contribution of feature to sample which was used to determined the memdetship degree of sample to each cass and the weighed dis- tance between sample and each class, and then we proposed a new algorithm -the uncertain means cluster ing. The data of IRIS indicates that the algorithm possesses the better convergence, better robustness二〔1 it is an unsupervised clustering algorithm.