A novel clustering algorithm is developed by using immune evolutionary method after analyzing the advantages and disadvantages of the classical clustering algorithm and the GA-based clustering algorithm.It not only avoids the local optima and is robust to initialization

but also evidently restrains the degenerating phenomenon during the evolutionary process.The experimental results show that the correct ratio of our algorithm is higher than GA-based clustering algorithm by 8～16 percent.