Intuitionistic fuzzy sets defined by Atanassov are of the most influential extension and evolution of fuzzy sets defined by Zadeh, so making the fuzzy clustering expand into an intuitionistic fuzzy clustering is of significant value in application research. This paper presents an intuitionistic fuzzy clustering based on maximum entropy, and deduces an iterative algorithm. At last, the typical experiment indicates that the intuitionistic fuzzy clustering is superior to the fuzzy clustering in performance and the clustering right rate is improved.