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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
Platform: |
Size: 14212 |
Author: suxin |
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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
Platform: |
Size: 14336 |
Author: suxin |
Hits:
Description: 流形学习算法，程序中也包含了多种经典的模式识别算法,如MDS、PCA。-Manifold learning algorithm, the program also contains a variety of classical pattern recognition algorithms, such as MDS, PCA.
Platform: |
Size: 14336 |
Author: ted |
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Description: 很不错的流形学习算法 包含了MDS PCA ISOMAP LLE等算法-Very good manifold learning algorithm includes the MDS PCA ISOMAP LLE, such as eight kinds of algorithms
Platform: |
Size: 14336 |
Author: yangdawei |
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Description: 流形学习的经典算法，包括有:PCA,MDS,ISOMAP,LLE,Hessian LLE,LTSA, Laplacian,Diffusion Map-The classic manifold learning algorithm, including: PCA, MDS, ISOMAP, LLE, Hessian LLE, LTSA, Laplacian, Diffusion Map
Platform: |
Size: 600064 |
Author: |
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Description: 流形学习工具包，包括了PCA，MDS，LLE，LTSA一些代码，对于初学应该有些帮助-The manifold learning kit including PCA, MDS, LLE, LTSA code should be some help for the beginner
Platform: |
Size: 1119232 |
Author: 王骥 |
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Description: 常用流形学习算法， 程序中也包含了多种经典的模式识别算法,如MDS、PCA。-Manifold learning algorithm, the program also contains a variety of classical pattern recognition algorithms, such as MDS, PCA.-manifold method，流形学习算法，程序中也包含了多种经典的模式识别算法,如MDS、PCA。-Manifold learning algorithm, the program also contains a variety of classical pattern recognition algorithms, such as MDS, PCA.
Platform: |
Size: 731136 |
Author: mengling |
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Description: ISOMAP(Isometric Feature Mapping，等度规特征映射)算法在高维非线性数据处理中有较为理想的效果，建立在MDS (Multi-Dimensional Scaling，多维尺度变换)的基础上，其基本思想是当数据集的分布具有低维嵌入流形结构时，可以通过保距映射获得观测空间数据集在低维空间的表示。-ISOMAP (Isometric Feature Mapping, and other metric feature mapping) algorithm can get more satisfactory results in high-dimensional nonlinear data processing, based on the MDS (Multi-Dimensional Scaling, multidimensional scaling), based on the basic idea is that when the data set distribution of low dimensional embedding manifold structure, you can get insurance the observation of spatial data sets mapped low dimensional space of representation .
Platform: |
Size: 3072 |
Author: ct |
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Description: 这是一个人机交互界面，里面包含了PCA、MDS、流形学习等一些算法供大家使用-This is a human-computer interaction interface, contains the some algorithms such as PCA, MDS, manifold learning for all to use
Platform: |
Size: 29696 |
Author: 高洁 |
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Description: 此代码是关于流形学习，数据降维，代码中含有的主要方法是PCA，KPCA，MDS，KMDS，Laplacian等等，且代码作了可视化处理，界面效果完美-This code is on the manifold learning, data dimensionality reduction, the main method code is contained in PCA, KPCA, MDS, KMDS, Laplacian, etc., and the code visualization made perfect interface effects
Platform: |
Size: 14336 |
Author: 张陈 |
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