Kernel based intuitionistic fuzzy clustering algorithm
Lei Ying-jie · Journal of Computer Applications · 2011
A kernel based intuitionistic fuzzy clustering algorithm named IFKCM was proposed on the basis of analyzing the deficiency of the existing clustering algorithm.The new algorithm,through introducing Gauss kernel,mapped the intuitionistic fuzzy sets from their original space to a high dimensional space(or kernel space),so as to have shorter computational time and more accurate result.Besides,it was robust to the noises because it improved the constraint conditions used in the existing intuitionistic fuzzy clustering algorithm.Finally,compared with the traditional algorithm,the proposed algorithm has made some significant progress,and the experimental result has proved its effectiveness.