On the eigenvectors of p-Laplacian

@article{Luo2010OnTE,
  title={On the eigenvectors of p-Laplacian},
  author={Dijun Luo and Heng Huang and Chris H. Q. Ding and Feiping Nie},
  journal={Machine Learning},
  year={2010},
  volume={81},
  pages={37-51}
}
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natural non-linear generalization of Graph Laplacian, p-Laplacian has recently been proposed, which interpolates between a relaxation of normalized cut and the Cheeger cut. However, the relaxation can only be applied to two-class cases. In this paper, we propose full eigenvector analysis of p-Laplacian and obtain a natural… CONTINUE READING
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