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Title: Dimension-reduction--toolbox Download
 Description: The toolbox contains a variety of dimensionality reduction algorithms. In which the traditional PCA and Local PCA algorithms, there are the typical manifold learning algorithms such as Isomap, LLE, HLLE, Laplacian Eigenmaps and Local Tangent Space.
 Downloaders recently: [More information of uploader uestc_zhi]
 To Search: Laplacian Eigenmaps
  • [DimReduc] - dimension reduction toolkit source code,
  • [toolbox_dimreduc] - This toolbox is an educational and recre
  • [pls] - This procedure applies to solve the faul
  • [manifoldlearning] - manifold learning algorithms in artifici
  • [toolbox_dimreduc] - This is a dimension reduction toolbox de
  • [laplacian_eigen] - Laplacian Eigenmaps [10] uses spectral t
  • [lle] - matlab code of Local linear embedding al
  • [svm] - This is a very good SVM algorithm. Inclu
File list (Check if you may need any files):
Dimension reduction  toolbox\compute_nn_distance.m
............................\compute_nn_graph.m
............................\dijkstra_fast.dll
............................\hlle.m
............................\isomap.m
............................\leigs.m
............................\lle.m
............................\load_images_dataset.m
............................\load_points_set.m
............................\load_subimages_dataset.m
............................\ltsa.m
............................\nn_prepare.dll
............................\nn_prepare.m
............................\nn_search.dll
............................\nn_search.m
............................\pca.m
............................\perform_dimreduc_interpolation.m
............................\perform_geodesic_embedding.m
............................\perform_local_pca.m
............................\plot_flattened_dataset.m
............................\range_search.dll
............................\range_search.m
............................\readme.txt
............................\test_datasets.m
............................\test_dimreduc.m
............................\test_display_pointsets.m
............................\test_images.m
............................\test_isomap_landmarks.m
............................\test_meshes.m
............................\test_nearest_neighboors.m
............................\test_pca.m
............................\test_subimages.m
............................\.oolbox\build_euclidean_weight_matrix.m
............................\.......\compute_distance_matrix.m
............................\.......\compute_distance_to_points.m
............................\.......\CVS\Entries
............................\.......\...\Entries.Extra
............................\.......\...\Repository
............................\.......\...\Root
............................\.......\load_image.m
............................\.......\perform_rbf_interpolation.m
............................\.......\plot_mesh.m
............................\.......\plot_scattered.m
............................\.......\read_off.m
............................\.......\test_rbf.m
............................\.......\triangulation2adjacency.m
............................\.......\CVS
............................\toolbox
Dimension reduction  toolbox
    

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