A Robust K-means clustering algorithm based on Gaussian kernel
| Autor: | You-Jun Lin, 林宥均 |
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| Rok vydání: | 2012 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 100 In this paper, we proposed a kernelized k-means algorithm based on the Gaussian kernel function according to the concepts of support vector clustering and kernel methods. A statistical point of view of robust properties of the proposed method is analyzed. The cluster center estimates obtained by the proposed method can be represented by an M-estimate with a bounded function. This provides the theoretical advance to support the robustness of our clustering method. Numerical examples also show the superiority of the proposed method. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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