Manifold Learning and Dimensionality Reduction with Diffusion Maps
暂无分享,去创建一个
[1] Lawrence K. Saul,et al. Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifold , 2003, J. Mach. Learn. Res..
[2] Stéphane Lafon,et al. Diffusion maps , 2006 .
[3] J. Tenenbaum,et al. A global geometric framework for nonlinear dimensionality reduction. , 2000, Science.
[4] Ulrike von Luxburg,et al. Graph Laplacians and their Convergence on Random Neighborhood Graphs , 2006, J. Mach. Learn. Res..
[5] S T Roweis,et al. Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.
[6] Eric R. Ziegel,et al. The Elements of Statistical Learning , 2003, Technometrics.
[7] Mikhail Belkin,et al. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation , 2003, Neural Computation.