Because of the shortcomings of the traditional K-means algorithm which is sensitive to select the initial clustering centers and easy converges to local optimization, the paper proposes An Clustering ...

The traditional K-means clustering algorithm is difficult to solve the nonlinear classification problem. In view of this defect, the kernel function is introduced to transform the nonlinear problem ...