搜索资源列表
NPE.邻域保持嵌入算法
- 邻域保持嵌入算法。注释有对应的参考文献和使用说明！,Embedding Algorithm maintain neighborhood. Notes there is the corresponding references and the use of note!
npe
- 流形学习算法lle的线性化方法，是一种非监督的降维方法，比lle的优势在于可以将新的样本点映射到低维空间。-Lle manifold learning algorithm of the linearization method, is a non-supervised dimensionality reduction method has the advantage of being more than lle can sample the new point is mapped to the
NPE
- NPE: Neighborhood Preserving Embedding
LGE
- 线性图嵌入方法，该方法是一种基于图框架的子空间学习方法，被用于LPP,NPE等流行学习方法中。-(Regularized) Linear Graph Embedding (Provides a general framework for graph based subspace learning. This function will be called by LPP, NPE, IsoProjection, LSDA, MMP ...)
NPE
- 流行学习的一种：邻域保持投影，该方法是局部线性嵌入的线性拓展，较好的保持了数据的局部线性结构-Neighborhood Preserving Embedding (You need to download LGE.m)
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