搜索资源列表
mani
- 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
drtoolbox
- 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 Lin
drtoolbox.tar
- 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
Blob-Code
- 多种模式识别算法的介绍，包括PCA，MPCA，LLE等-Several pattern recognition algorithm is introduced, including PCA, MPCA, LLE etc.
drtoolbox.tar
- 用于降维的matlab工具包，包括PCA，LDA，LLE，等-Matlab Toolbox for Dimensionality Reduction Principal Component Analysis (PCA) Probabilistic PCA Factor Analysis (FA) Classical multidimensional scaling (MDS) Sammon mapping Linear Discriminant Analysis (LDA
drtoolbox
- 对数据进行降维可视化的工具箱。里面有PCA、LLE、LLC等十多种方法。可以自主编程进行对大数据的降维可视化。-Dimensionality reduction data visualization toolkit. There are PCA, LLE, LLC and a dozen other methods. You can customize the programming for large data dimensionality reduction visualization.
techniques
- 这是一个非常有用的程序主要是用来光谱降维处理的手段有PCA,LCA,LLE,Isomap等-This is a very useful procedure mainly used for spectral dimension reduction processing by means of PCA, LCA, LLE, Isomap, etc.
语音识别 程序
- PCA主成分分析和LLE算法降维算法用于语音识别。(PCA speech dimensionality reduction recognition)
MATLAB Codes for Dimensionality Reduction
- 子空间学习方法工具箱，包含PCA、LDA、LLE、ISOMAP等经典子空间分析方法(Subspace learning method toolbox, including classical subspace analysis methods such as PCA, LDA, LLE, ISOMAP and so on)
mani
- 流形学习主要方法的可视化界面，包括LLE、ISOMAP、LE、PCA等方法和8种经典测试流形数据。(Visulization interface for mainfold learning methods)
Matlab Toolbox for Dimensionality Reduction.tar
- matlab 常用的降维软件 包括常用LLE、PCA、CCA等算法，简单好用