An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA
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[1] Ulrike von Luxburg,et al. A tutorial on spectral clustering , 2007, Stat. Comput..
[2] F. Clarke. Optimization And Nonsmooth Analysis , 1983 .
[3] Arthur D. Szlam,et al. Total variation and cheeger cuts , 2010, ICML 2010.
[4] K. Schittkowski,et al. NONLINEAR PROGRAMMING , 2022 .
[5] Alexandre d'Aspremont,et al. Optimal Solutions for Sparse Principal Component Analysis , 2007, J. Mach. Learn. Res..
[6] Jorge Cadima Departamento de Matematica. Loading and correlations in the interpretation of principle compenents , 1995 .
[7] Robert H. Halstead,et al. Matrix Computations , 2011, Encyclopedia of Parallel Computing.
[8] Tom Goldstein,et al. The Split Bregman Method for L1-Regularized Problems , 2009, SIAM J. Imaging Sci..
[9] Marc Teboulle,et al. Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems , 2009, IEEE Transactions on Image Processing.
[10] Joachim M. Buhmann,et al. Expectation-maximization for sparse and non-negative PCA , 2008, ICML '08.
[11] Gert R. G. Lanckriet,et al. Sparse eigen methods by D.C. programming , 2007, ICML '07.
[12] Kung-Ching Chang,et al. Variational methods for non-differentiable functionals and their applications to partial differential equations , 1981 .
[13] Zhou Wei,et al. Generalized Euler identity for subdifferentials of homogeneous functions and applications , 2008 .
[14] Yurii Nesterov,et al. Generalized Power Method for Sparse Principal Component Analysis , 2008, J. Mach. Learn. Res..
[15] U. Feige,et al. Spectral Graph Theory , 2015 .
[16] Shai Avidan,et al. Spectral Bounds for Sparse PCA: Exact and Greedy Algorithms , 2005, NIPS.
[17] I. Jolliffe,et al. A Modified Principal Component Technique Based on the LASSO , 2003 .
[18] 丸山 徹. Convex Analysisの二,三の進展について , 1977 .
[19] Rodney Josué Biezuner,et al. Computing the first eigenvalue of the p-Laplacian via the inverse power method. , 2009 .
[20] Saïd Amghibech,et al. Eigenvalues of the Discrete p-Laplacian for Graphs , 2003, Ars Comb..
[21] R. Tibshirani,et al. Sparse Principal Component Analysis , 2006 .
[22] Matthias Hein,et al. Spectral clustering based on the graph p-Laplacian , 2009, ICML '09.
[23] Heng Tao Shen,et al. Principal Component Analysis , 2009, Encyclopedia of Biometrics.