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C__MATLAB7_work_temporary_twodlpp2
- 2维LPP（2维局部映射保护）代码，可以对图像等二维数据进行降维。-two-dimensional LCDs (two-dimensional mapping of local protection) code, two-dimensional images of data dimensionality reduction.
LPP_MatlabCode
- LPP for matlab, Good code for you!-LCDs for Matlab, Good code for you!
lpp_prog.rar
- Face With LPP testing,Face With LPP testing
LPP.rar
- 流形学习MATLAB代码，HE 的一个最经典的算法，是线性子空间学习的基本算法。,LPP
lpp.rar
- 一种很重要的非监督降维方法，是流形学习算法Laplacian Eigenmap 的线性化方法，在人脸识别中效果非常好。,A very important method of unsupervised dimensionality reduction, manifold learning algorithm is Laplacian Eigenmap linearization method is very effective in face recognition.
KLPP
- 核lpp（局部保持映射）的降维方法。跟Xiaofei He的论文配套-Nuclear lpp (partial maintain mapping) methods of dimensionality reduction. Xiaofei He told the paper supporting
31767689LPP_MatlabCode
- lPP 用于数据降维 很好用 希望能派上用场-LPP be use to dimension reduction
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 ...)
LPP
- 该方法是基于保持数据局部流形的降维方法，在降维后的低维空间能较好的保持其局部子流形-Locality Preserving Projection (You need to download LGE.m as well as constructW.m).
Orthogonal-laplacianfaces
- 提出的正交LPP具有的优良特性是：能够较好的重构数据，并包含较好的判别能力-The orthogonal locality preserving projection (OLPP) method produces orthogonal basis functions and can have more locality preserving power than LPP. Since the locality preserving power is potentially relat
LPP
- 很好的降维算法解析，主要讲述了LPP、PCA、LDA算法，希望对大家有帮助-Dimensionality reduction algorithm analysis focuses on the LPP, PCA, LDA algorithm, we hope to help
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
LPP
- 局部保持投影（LPP），用于人脸的模式识别，亦可以用来分类，大家讨论讨论，不足的地方改进！-Local projection (LPP), pattern recognition for face, also can be used in the classification, we discuss, insufficient place improvement!
dimension-reduction
- pca lda kpca klda lpp matlab 特征降为方法，对于新手比较有用。-pca lda kpca klda lpp matlab code for dimension reduction. these are very useful for new researchers.