Abstract
In this paper, we present a perturbation analysis for the matrices in the multiway normalized cut spectral clustering method based on the matrix perturbation theory. The analytical results show that the eigenvalues and the eigenspaces of the normalized Laplacian matrices are continuous. Therefore, clustering algorithms can be designed according to the special properties of the normalized Laplacian matrices in the ideal case and the method can be extended to the general case based on the continuity of the eigenvalues and the eigenspaces of the normalized Laplacian matrices. The numerical results are consistent with the theoretical results.
摘要
创新点: 本文利用矩阵扰动理论对多路归一化割谱聚类方法用到的矩阵进行了扰动分析. 分析结果表明多路归一化割谱聚类方法用到的矩阵的特征值和特征子空间具有连续性. 因此, 在理想情形下根据多路归一化割谱聚类方法用到的矩阵的特殊性质划分数据, 再将结果推广到一般情形是合理的. 值得一提的是, 本文对非对称规范Laplace矩阵进行了扰动分析. 另外, 本文给出了谱聚类的划分结果保持不变的扰动上限.
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Borjigin, S., Guo, C. Perturbation analysis for the normalized Laplacian matrices in the multiway spectral clustering method. Sci. China Inf. Sci. 57, 1–17 (2014). https://doi.org/10.1007/s11432-014-5156-y
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DOI: https://doi.org/10.1007/s11432-014-5156-y
Keywords
- spectral clustering method
- normalized Laplacian matrices
- eigenvalue
- eigenspace
- matrix perturbation theory