DimReduc
所属分类:matlab编程
开发工具:matlab
文件大小:190KB
下载次数:252
上传日期:2007-06-20 16:07:54
上 传 者:
741704
说明: 维数约简工具箱源代码,包括PCA、LLE等学习算法,可用于模式识别、数据挖掘和统计分析等。
(dimension reduction toolkit source code, including the PCA, LLE and other learning algorithms can be used for pattern recognition, data mining and statistical analysis.)
文件列表:
DimReduc\toolbox\build_euclidean_weight_matrix.m (706, 2004-01-06)
DimReduc\toolbox\compute_distance_matrix.m (310, 2004-10-06)
DimReduc\toolbox\compute_distance_to_points.m (548, 2005-05-08)
DimReduc\toolbox\CVS\Entries (538, 2005-11-20)
DimReduc\toolbox\CVS\Entries.Extra (255, 2005-11-20)
DimReduc\toolbox\CVS\Repository (41, 2005-11-20)
DimReduc\toolbox\CVS\Root (43, 2005-11-20)
DimReduc\toolbox\CVS (0, 2006-09-08)
DimReduc\toolbox\load_image.m (7511, 2005-07-19)
DimReduc\toolbox\perform_rbf_interpolation.m (4065, 2005-10-10)
DimReduc\toolbox\plot_mesh.m (2259, 2004-12-24)
DimReduc\toolbox\plot_scattered.m (1364, 2005-10-10)
DimReduc\toolbox\read_off.m (2339, 2005-09-03)
DimReduc\toolbox\test_rbf.m (405, 2005-10-10)
DimReduc\toolbox\triangulation2adjacency.m (611, 2005-02-08)
DimReduc\toolbox (0, 2006-09-08)
DimReduc\compute_nn_distance.m (1518, 2006-09-08)
DimReduc\compute_nn_graph.m (1664, 2006-09-08)
DimReduc\dijkstra_fast.dll (57344, 2004-05-03)
DimReduc\hlle.m (5717, 2005-10-10)
DimReduc\isomap.m (3950, 2006-05-05)
DimReduc\leigs.m (7393, 2006-09-08)
DimReduc\lle.m (2477, 2006-09-08)
DimReduc\load_images_dataset.m (5834, 2006-04-10)
DimReduc\load_points_set.m (4267, 2006-02-05)
DimReduc\load_subimages_dataset.m (1903, 2006-08-24)
DimReduc\ltsa.m (2653, 2006-09-08)
DimReduc\nn_prepare.dll (120320, 2001-01-16)
DimReduc\nn_prepare.m (1645, 2002-01-17)
DimReduc\nn_search.dll (128512, 2001-01-16)
DimReduc\nn_search.m (1984, 2002-01-17)
DimReduc\pca.m (7182, 2006-08-28)
DimReduc\perform_dimreduc_interpolation.m (1523, 2006-08-14)
DimReduc\perform_geodesic_embedding.m (1254, 2006-08-13)
DimReduc\perform_local_pca.m (2092, 2006-08-28)
DimReduc\plot_flattened_dataset.m (1392, 2006-08-13)
DimReduc\range_search.dll (129024, 2001-01-16)
DimReduc\range_search.m (1920, 2002-01-17)
DimReduc\test_datasets.m (793, 2006-09-08)
... ...
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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