Description: Summary of general dimension reduction methods, PCA, LDA, isomap .......
- [mani] - image dimensionality reduction algorithm
- [DimReduc] - dimension reduction toolkit source code,
- [Isomapfiles] - This procedure is carried out face recog
- [PCA] - Principal component analysis (PCA), PCA
- [kpca] - KPCA procedure, compared to-use, with de
- [gabor] - this is a good source for face recognoti
- [2DPCA] - 2DPCA a new dimension reduction method i
- [PCA] - PCA
- [lda] - lda source code. Is used for data dimens
- [kpcaprogram] - KPCA program, I graduated from the desig
File list (Check if you may need any files):
dimreduce
.........\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
.........\toolbox
.........\.......\build_euclidean_weight_matrix.m
.........\.......\compute_distance_matrix.m
.........\.......\compute_distance_to_points.m
.........\.......\load_image.m
.........\.......\perform_rbf_interpolation.m
.........\.......\plot_mesh.m
.........\.......\plot_scattered.m
.........\.......\read_off.m
.........\.......\test_rbf.m
.........\.......\triangulation2adjacency.m