The iterative formulas of Fuzzy C Means algorithm in feature space were deduced before two methods were presented to improve the distribution property of membership information. The first was to control the distribution of membership information by introducting selective attention parameters. The other was to construct cluster fiducial values from the point of probability to replace original membership information. Results of the experiments confirm the effectiveness of the two methods.