K-Means Algorithm Based on Gaussian Kernel

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We proposed a kernelized k-means algorithm based on Gaussian Radial Basis Kernel method. A statistical point of view of robust properties of the proposed method is analyzed. The cluster center estimates obtained by the proposed method.This provides the theoretical advance to support the robustness of our clustering method. Numerical examples also show the superiority of the proposed method.


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