Abstract: As to the inaccuracy partition caused by the improper choices of initial cluster centers when adopting the Fuzzy C-Means（FCM） clustering algorithm，in this paper，FCM clustering algorithm based on Cartesian product and the effect of weighting exponent m on the performance of fuzzy clustering are studied in FCM algorithm.C-FCM improves the clustering to a higher dimension and avoids the disadvantages of local optimality and initialization dependence.The testing conclusion in the TCC testing project which used C-FCM shows that，the proposed method is more accurate and efficient than FCM and it is feasible and effective for the classification of packets from adjacent station.