文件列表:

dimreduce\compute_nn_distance.m (1518, 2006-09-08)
dimreduce\compute_nn_graph.m (1664, 2006-09-08)
dimreduce\dijkstra_fast.dll (57344, 2004-05-03)
dimreduce\hlle.m (5717, 2005-10-10)
dimreduce\isomap.m (3950, 2006-05-05)
dimreduce\leigs.m (7393, 2006-09-08)
dimreduce\lle.m (2477, 2006-09-08)
dimreduce\load_images_dataset.m (5834, 2006-04-10)
dimreduce\load_points_set.m (4267, 2006-02-05)
dimreduce\load_subimages_dataset.m (1903, 2006-08-24)
dimreduce\ltsa.m (2653, 2006-09-08)
dimreduce\nn_prepare.dll (120320, 2001-01-16)
dimreduce\nn_prepare.m (1645, 2002-01-17)
dimreduce\nn_search.dll (128512, 2001-01-16)
dimreduce\nn_search.m (1984, 2002-01-17)
dimreduce\pca.m (7182, 2006-08-28)
dimreduce\perform_dimreduc_interpolation.m (1523, 2006-08-14)
dimreduce\perform_geodesic_embedding.m (1254, 2006-08-13)
dimreduce\perform_local_pca.m (2092, 2006-08-28)
dimreduce\plot_flattened_dataset.m (1392, 2006-08-13)
dimreduce\range_search.dll (129024, 2001-01-16)
dimreduce\range_search.m (1920, 2002-01-17)
dimreduce\test_datasets.m (793, 2006-09-08)
dimreduce\test_dimreduc.m (1464, 2006-09-08)
dimreduce\test_display_pointsets.m (386, 2005-10-11)
dimreduce\test_images.m (1303, 2006-09-08)
dimreduce\test_isomap_landmarks.m (1105, 2006-09-08)
dimreduce\test_meshes.m (876, 2006-08-13)
dimreduce\test_nearest_neighboors.m (472, 2006-09-08)
dimreduce\test_pca.m (333, 2006-09-08)
dimreduce\test_subimages.m (2536, 2006-09-08)
dimreduce\toolbox\build_euclidean_weight_matrix.m (706, 2004-01-06)
dimreduce\toolbox\compute_distance_matrix.m (310, 2004-10-06)
dimreduce\toolbox\compute_distance_to_points.m (548, 2005-05-08)
dimreduce\toolbox\CVS\Entries (538, 2005-11-20)
dimreduce\toolbox\CVS\Entries.Extra (255, 2005-11-20)
dimreduce\toolbox\CVS\Repository (41, 2005-11-20)
dimreduce\toolbox\CVS\Root (43, 2005-11-20)
dimreduce\toolbox\load_image.m (7511, 2005-07-19)
... ...

toolbox_dimreduc - a toolbox for dimension reduction methods This toolbox is an educational and recreative toolbox around recent ideas in the field of dimension reduction. This toolbox contains a set of helpers and test scripts to play with the following algorithms : * PCA : classical Principal Componnent Analysis (linear projection). * Isomap A Global Geometric Framework for Nonlinear Dimensionality Reduction J. B. Tenenbaum, V. de Silva and J. C. Langford Science 290, 2319 * LLE Nonlinear dimensionality reduction by locally linear embedding. Sam Roweis & Lawrence Saul. Science, v.290 no.5500 , Dec.22, 2000. pp.2323--2326. * HLLE Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data David L. Donoho and Carrie Grimes Proc Natl Acad Sci U S A. 2003 May 13; 100(10): 5591–5596. * Laplacian Eigenmaps Laplacian Eigenmaps for dimensionality reduction and data representation Mikhail Belkin and Partha Niyogi, Neural Computation 15(16), 2003, 1373-1396 * Local Tangent Space Alignment Principal manifolds and nonlinear dimension reduction via local tangent space alignment. Zhenyue Zhang and Hongyuan Zha. SIAM Journal of Scientific Computing, 26(1):313–338, 2004. * Local PCA Dimension Reduction by Local Principal Component Analysis Nandakishore Kambhatla and Todd K. Leen Neural Computation, Volume 9 , Issue 7,1997 This toolbox contains the sources provided by the authors of these articles, slightly modified to get a cleaner interface. These codes are under the copyright of the corresponding authors. This toolbox contains tests files to see the application of these algorithm in three settings : * Simple 3D clouds. * 3D mesh with given connectivity. * Images data sets. The images data sets are borrowed from : * Roweis datas * MNIST handwritten digits database They are *NOT* included in the distribution of the toolbox available on Matlab central. The file data.zip should be retrieved from here and unzipped in the same directory as the toolbox. Installation: you have to put the directory toolbox/ into you matlab path. Copyright (c) 2006 Gabriel Peyré

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