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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.
PCALDA
- PCA+LDA经典人脸识别算法，先用PCA降维，再用LCA降维-PCA+ LDA classical face recognition algorithms, first PCA dimension reduction, reuse LCA dimension reduction
FastICA_25
- 独立分量分析的算法，用于分离出独立分量，用于图像降维，特征提取-Independent component analysis algorithms, used to separate out the independent component for the image dimensionality reduction, feature extraction
Dimension-reduction--toolbox
- 该工具箱中包含了多种降维算法。其中有传统的PCA和Local PCA算法，也有典型的流形学习算法，如Isomap、LLE、HLLE、Laplacian Eigenmaps 和 Local Tangent Space 。-The toolbox contains a variety of dimensionality reduction algorithms. In which the traditional PCA and Local PCA algorithms, there are the
ltsa
- 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 poin
Isomap
- Isomap流形降维算法，包括了一个瑞士卷生成数据，dijk距离算法。-Dimensionality reduction algorithm Isomap manifold, including the formation of a Swiss roll data, dijk distance algorithm.
Rec_BaseOnCN
- 使用复杂网络提取图像边缘特征并进行识别的源代码，采用PCA_LDA算法对特征进行降维分类识别，识别效率很高。鲁棒性好-Extracted using image edge characteristics of complex networks and to identify the source code, using PCA_LDA algorithm to reduce the dimensions feature classification, identification with hi
ASD
- 自适应子空间分解（ASD）算法的程序。用于高光谱图像降维-ASD on hyperspectral
lle
- 局部线性嵌入算法的matlab代码,改算法是流形学习中的一个算法，目的是将高维流形空间映射到低维嵌入空间。可用于非线性高维数据的降维-matlab code of Local linear embedding algorithm
lle
- 基于邻域嵌入式的降维 充分利用matlab矩阵的功能 程序简捷-Neighborhood-based embedded full advantage of dimension reduction procedures for simple matlab function matrix
pca
- 主成分分析程序,应用于图像特征提取，数据降维等方面 -the code of PCA
LLE
- 关于高维数据降维的非线性方法ＬＬＥ代码，对学习数据降维有帮助-High dimensional data on the nonlinear dimensionality reduction methods LLE code, data dimensionality reduction in learning help
empca2.tar
- 模式分类中应用到的PCA算法，包括其奇异值分解SVD算法。可用来降维提取主元素等。-pattern classification applied to the PCA algorithm, including its SVD singular value decomposition algorithm. Can be used to take down the main Viti Levu and other elements.
lle
- 非线性降维方法lle 可以应用于高维数据的机器学习-Lle nonlinear dimensionality reduction methods can be applied to high-dimensional data, machine learning
pattern-recognition-simulation
- 用mushrooms数据对模式识别课程讲述的各种模式分类方法[线性分类，Bayesian分类，Parzen窗，KNN]和特征选择和降维方法[PCA,LDA]进行了模拟，并给出了各类分类方法的结果，-It s the simulations about linear classification ,Bayesian ,Parzen and KNN of pattern recognition .And ,It gives the results.
pcafacerecognition
- 基于主成分分析(PCA)的人脸识别系统 利用2D PCA算法求对训练集向量进行降维的降维矩阵，最近邻法测试对测试集识别的精度-pca face recognition
lle
- 一种流形学习算法，用于非线性降维，文章发表在2000年science杂志上，是一种非常经典的算法。-A manifold learning algorithm for nonlinear dimensionality reduction, articles published in science journal in 2000, is a very classic algorithms.
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
hlle
- 一种流形学习算法，改正了Isomap不能对非凸流形进行降维的不足，是一种局部等距的降维方法。-A manifold learning algorithm, Isomap can not be corrected for non-convex manifolds for the lack of dimensionality reduction is a partial isometric method of dimensionality reduction.