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Description: mani: MANIfold learning demonstration GUI by Todd Wittman, Department of Mathematics, University of Minnesota E-mail wittman@math.umn.edu with comments & questions.
MANI Website: httP://www.math.umn.edu/~wittman/mani/index.html
Last Modified by GUIDE v2.5 10-Apr-2005 13:28:36
Methods obtained from various authors.
(1) MDS -- Michael Lee
(2) ISOMAP -- J. Tenenbaum, de Silva, & Langford
(3) LLE -- Sam Roweis & Lawrence Saul
(4) Hessian LLE -- D. Donoho & C. Grimes
(5) Laplacian -- M. Belkin & P. Niyogi
(6) Diffusion Map -- R. Coifman & S. Lafon
(7) LTSA -- Zhenyue Zhang & Hongyuan Zha
-mani: MANIfold learning demonstration GUI by Todd Wittman, Department of Mathematics, University of Minnesota E-mail wittman@math.umn.edu with comments & questions.
MANI Website: httP://www.math.umn.edu/~wittman/mani/index.html
Last Modified by GUIDE v2.5 10-Apr-2005 13:28:36
Methods obtained from various authors.
(1) MDS-- Michael Lee
(2) ISOMAP-- J. Tenenbaum, de Silva, & Langford
(3) LLE-- Sam Roweis & Lawrence Saul
(4) Hessian LLE-- D. Donoho & C. Grimes
(5) Laplacian-- M. Belkin & P. Niyogi
(6) Diffusion Map-- R. Coifman & S. Lafon
(7) LTSA-- Zhenyue Zhang & Hongyuan Zha
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Size: 14336 |
Author: suxin |
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Description: 这是一个MATLAB工具箱包括32个降维程序，主要包括 pca,lda,MDS等十几个程序包，对于图像处理非常具有参考价值- ，This Matlab toolbox implements 32 techniques for dimensionality reduction. These techniques are all available through the COMPUTE_MAPPING function or trhough the GUI. The following techniques are available:
- Principal Component Analysis ( PCA )
- Linear Discriminant Analysis ( LDA )
- Multidimensional scaling ( MDS )
- Probabilistic PCA ( ProbPCA )
- Factor analysis ( FactorAnalysis )
- Sammon mapping ( Sammon )
- Isomap ( Isomap )
- Landmark Isomap ( LandmarkIsomap )
- Locally Linear Embedding ( LLE )
- Laplacian Eigenmaps ( Laplacian )
- Hessian LLE ( HessianLLE )
- Local Tangent Space Alignment ( LTSA )
- Diffusion maps ( DiffusionMaps )
- Kernel PCA ( KernelPCA )
- Generalized Discriminant Analysis ( KernelLDA )
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Size: 1108992 |
Author: yang |
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Description: 流形学习程序，Isomap，LLE，LTSA，etc，非线性数据降维-manifold learning, Isomap, LLE, LTSA, etc, nonlinear data dimensionality reduction
Platform: |
Size: 29696 |
Author: ZHUANG |
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Description: 一种用于非线性降维的流形学习算法，主要是先考虑用每一点处的局部切空间表示该点处的几何特征，然后都局部切空间进行排列。-A non-linear dimensionality reduction of manifold learning algorithm, mainly to consider every point of the partial cut Department said that the space of the geometric characteristics of points, and then are partially cut with space.
Platform: |
Size: 1024 |
Author: 仲国强 |
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Description: 流形学习算法LTSA的线性化方法，在基因分类聚类中得到了应用，可以将新样本线性地投射到低维空间。-LTSA manifold learning algorithm of the linearization method, clustering in gene classification has been applied to new samples can be projected onto the linear and low-dimensional space.
Platform: |
Size: 2048 |
Author: 仲国强 |
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Description: 一款很好的matlab程序，具有MDS\PCA\ISO\MAP\LLE\HESSIANLLE\LAPLACANDIFFUSIONMAP\LTSA的图像分析功能 -Matlab a very good program, with MDS \ PCA \ ISO \ MAP \ LLE \ HESSIANLLE \ LAPLACANDIFFUSIONMAP \ LTSA' s image analysis capabilities
Platform: |
Size: 14336 |
Author: 江责义 |
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Description: LTSA is tool to simulate different algorithms.
Platform: |
Size: 2438144 |
Author: rajesh |
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Description: 运行在MATLAB上，可以实现PCA，LLE，LE，HLLE，LTSA等算法-Run in MATLAB, you can achieve the PCA, LLE, LE, HLLE, LTSA and other algorithms
Platform: |
Size: 44032 |
Author: zhangxu |
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Description: 多种流行学习算法的MATLAB实现。包括MDS、ISOMAP、 LLE 、 Hessian LLE 、Laplacian、LTSA 等多种算法。-A variety of popular learning algorithm in MATLAB to achieve. MDS, ISOMAP, LLE, Hessian LLE, Laplacian, LTSA.
Platform: |
Size: 15360 |
Author: 刘娇月 |
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Description: Matlab针对各种数据预处理的降维方法，源码集合。-Currently, the Matlab Toolbox for Dimensionality Reduction contains the following techniques:
Principal Component Analysis (PCA)
Probabilistic PCA
Factor Analysis (FA)
Sammon mapping
Linear Discriminant Analysis (LDA)
Multidimensional scaling (MDS)
Isomap
Landmark Isomap
Local Linear Embedding (LLE)
Laplacian Eigenmaps
Hessian LLE
Local Tangent Space Alignment (LTSA)
Conformal Eigenmaps (extension of LLE)
Maximum Variance Unfolding (extension of LLE)
Landmark MVU (LandmarkMVU)
Fast Maximum Variance Unfolding (FastMVU)
Kernel PCA
Generalized Discriminant Analysis (GDA)
Diffusion maps
Stochastic Neighbor Embedding (SNE)
Symmetric SNE (SymSNE)
new: t-Distributed Stochastic Neighbor Embedding (t-SNE)
Neighborhood Preserving Embedding (NPE)
Locality Preserving Projection (LPP)
Linear Local Tangent Space Alignment (LLTSA)
Stochastic Proximity Embedding (SPE)
Mu
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Size: 2029568 |
Author: jdzsj |
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Description: matlab主流行重构的代码，LTSA主流行重构-Matlab main popular reconstruction code, LTSA main line reconstruction
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Size: 128000 |
Author: time |
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