Rough Fuzzy C-Means Algorithm and Its Application to Image Clustering
WU Meng-da · Journal of National University of Defense Technology · 2007
Based on the rough set model proposed by Pawlak,a new fuzzy C-means algorithm-rough fuzzy C-means algorithm(RFCM) is presented.The algorithm employs a new objective function which incorporates the concepts of the upper approximation and the lower approximation in rough sets,and which produces better results than Fuzzy C-mean algorithm at time complexity,clustering precision,the sensitivity to initial degree of membership matrix.The better effect can be testified by many experiments.