A deep-seated rough fuzzy C-Means combined (RFCMC) clustering algorithm is proposed. The algorithm alters the distribution of fuzzy membership function by combining the lower approximation and upper approximation. Accordingly, the computation of class centroid and fuzzy membership is modified. Moreover, a self-adaptive adjusting edge parameter algorithm is prepresented. The results from experiments prove the improved effects.