搜索资源列表
llesvmrenlianshibie
- 基于LLE和SVM的模式识别源代码，整理过的，里面添加了SVM ,SVMFWD,LLE，运行无误，欢迎下载-SVM pattern recognition based on LLE and the source code, finishing off, which added SVM, SVMFWD, LLE, run correctly, please download
66lle
- LLE降维的源码，内有详细说明，供初学者学习-LLE dimensionality reduction of the source, with detailed instructions for beginners to learn
sslle
- semi-supervised LLE,matlab codes.
hlle
- lle和svm 的人脸识别算法代码，识别率可以打到80以上。-lle and SVM for face recognition algorithm code, the recognition rate can reach 80 or more.
SubspaceLearningCodes(Matlab)forFaceRecognition.ra
- 人脸识别的子空间方法，包括LLE，ISOMAP和NPE等维数约减算法-Subspace method for face recognition, including LLE, ISOMAP and NPE dimensionality reduction algorithm such as
lle
- Locally-Linear Embedding (LLE)[9] was presented at approximately the same time as Isomap. It has several advantages over Isomap, including faster optimization when implemented to take advantage of sparse matrix algorithms, and better results with man
lle
- 基于流形的lle（局部线性嵌入）算法。 可以设置领域大小，计算速度较快。-Based on manifold lle (Locally Linear Embedding) algorithm. Field size can be set to calculate faster.
lle
- 局部线性降维方法LLE 用于高维空间数据的降维处理-Local linear dimension reduction methods for high dimensional data LLE dimensionality reduction process
lle
- 用matlab来实现局部线性嵌入算子，实现效率比较高-Using matlab to realize lle，the efficiency is good enough
LLEPGaborPSVM
- 本程序是Locally linear(LLE) 算法-This program is Locally linear (LLE) algorithm
manifold-learning.lle
- 流形学习是一种新的无监督机器学习方法，局部线形嵌入（Locally Linear Embedding，LLE）发现嵌入在高维数据中的低维流形，流形学习算法,MATLAB程序-manifold learning
lle
- LLE算法是一种非线性数据降维方法，其特点是简单。-LLE algorithm is a kind of nonlinear data dimension reduction method. Its characteristic is simple
LLE-matlab
- LLE算法学习源代码，帮助你学习LLE算法的好资料！-lle
mani-LLE-LTSA
- 多种流行学习算法的MATLAB实现。包括MDS、ISOMAP、 LLE 、 Hessian LLE 、Laplacian、LTSA 等多种算法。-A variety of popular learning algorithm in MATLAB to achieve. MDS, ISOMAP, LLE, Hessian LLE, Laplacian, LTSA.
LLE
- 局部线性嵌入LLE算法的实现，一种非线性降维方法。-Nonliear dimensional reduction by locally linear embedding
LLE
- LLE是一种新的算法，既有非线性的特点，又有线性的优点-LLE is a new algorithm, both non-linear characteristics, but also the linear advantages
LLE
- 局部线性嵌入LLE，是一种非常高效的非线性降维方法，本文PPT主要介绍了LLE算法的实现过程，同时分析了其参数的选择，和MATLAB的仿真实现-Locally linear embedding LLE, is a very efficient nonlinear dimensionality reduction method, this paper mainly introduced the PPT LLE algorithm realization process, and analyzes
LLE
- 介绍了LLE的应用，以网上开源的LLE源码为基础，进行高维数据的降维，并附有程序结果图-LLE application, the LLE source open source online for dimensionality reduction of high-dimensional data, together with the results of the proceedings Figure
LLE
- LLE算法用Matlab实现，完全能达到LLE算法的要求。-LLE algorithm using Matlab, fully able to meet the requirements of the LLE algorithm.
lle
- 流形学习算法LLE的核心代码，实现对高维图像数据的降维，适合初学者-LLE manifold learning algorithm of the core code, the realization of high-dimensional image data dimensionality reduction, suitable for beginners