搜索资源列表
DengCai
- 在网上下载到的各种降维方法的MATLAB程序，希望对大家能有所帮助
2DPCA
- 2DPCA新的降维方法,是PCA的改进,新,很值得一看!
dimreduce
- 普通降维方法汇总，PCA，LDA,isomap-Summary of general dimension reduction methods, PCA, LDA, isomap .......
2DPCA
- 2DPCA新的降维方法,是PCA的改进,新,很值得一看 -2DPCA a new dimension reduction method is PCA improvements, the new, it is worth a visit
lda8renxunlian
- 这是学习LDA降维方法的核心程序，将降维后的特征就可以用于识别，这是非常好了解LDA多类降维的好程序！-This is the LDA dimension reduction methods to learn the core program will feature after dimension reduction can be used to identify that this is a very good understanding of many types of lower-dim
pcakpca
- 图像降维方法pca和kpca的matlab程序-Image dimensional reduction pca and kpca the matlab program
PR_paper
- 基于独立成分分析的人脸识别方法研究 基于流形学习的数据降维方法研究 人脸识别系统的设计与开发 基于主成分分析的人脸识别 特征提取算法的研究与改进。。。。。。 做人脸识别式一系列的参考资料 -Face recognition based on independent component analysis method based on manifold learning method of data reduction system design and developme
toolbox-for-dimensionality-reduction
- 一个关于数据降维的工具包，外国牛人编写，囊括了各种降维方法，是一个很好的工具！-A tool for data reduction package, foreign cattle were written, include a variety of dimension reduction method is a good tool!
PCA_LLE_jiangweiliucheng
- 用LLE、PCA、ISOMAP等经典的降维方法来对瑞士卷等典型图像来实现降维处理，介绍了降维的整体过程。-With LLE, PCA, ISOMAP dimension reduction such as classic approach to the typical image of the Swiss roll to achieve the dimension reduction process, describes the dimensionality of the overall pro
dimensionality-reduction-methods
- 有关人脸识别降维方法的几篇较新的文献Several newer literature related to face recognition dimensionality reduction methods-Several newer literature related to face recognition dimensionality reduction methods
2D-LDA
- LDA是一种线性降维方法，对原有的高维人脸数据集降维，然后识别，具有很好的聚类和识别效果。有详细的说明-LDA is a linear dimensionality reduction method, the original high-dimensional face data set dimensionality reduction, and then identify clustering and identification. Described in detail
PCA
- 有监督的PCA降维方法，还算比较好用，识别率能达到80 以上-Supervision PCA dimensionality reduction method is fairly easy to use, the recognition rate can reach more than 80
LLE
- Locally linear embedding(LLE)是一个经典的流形学习降维方法，通过LLE发现高维数据潜在的内在维数，可以简化计算、方便可视化处理等。-Locally linear embedding (LLE) is a classic manifold learning dimensionality reduction method, discovered by LLE potential inherent high dimensional data dimension, the c
drtoolbox
- 一个关于降维方法的matlab工具包，包含25种常用降维技术的源码-A matlab toolkit on dimensionality reduction method，containing 25 commonly used source dimension reduction techniques
ISOmap
- 流形学习，非线性降维方法ISOMAP，应用在经典的swiss roll data上，可观察到很好的映射效果-Manifold learning, ISOMAP nonlinear dimension reduction method, the application in the classic Swiss roll data, can be very good mapping effect was observed
BDLPP
- 该源代码是人脸识别中的二维降维方法BDLPP的源代码，下载下来就可执行，其代码简单易理解。-The source code is a two-dimensional face recognition dimensionality reduction method BDLPP source code can be downloaded from execution, the code is simple and easy to understand.
21
- 这里面有关于主流降维方法的介绍以及他们的复杂度分析，对于需要这么资料的有一定帮助-There is something about the complexity of the mainstream dimension reduction method is introduced, and their analysis of such information for the need of a certain help
Yale_face-recognition_pca
- 使用yale人脸数据库，用PCA降维方法来对人脸数据进行分类的MATLAB代码，附有人脸图片-Yale face , using PCA dimension reduction method to classify data of face of MATLAB code, and comes with a human face images
LaplacianEigenmapSwissRoll
- 拉普拉斯降维方法，针对高维数据，性能方面优于传统的PCA方法。-Laplasse dimension reduction method for high dimensional data, the performance is better than the traditional PCA method
point_cloud_reduction
- 自己开发的一种点云降噪方法，可以去除物体主体之外的部分的点云数据（物体点云数据为三维扫描仪获得）(A point cloud noise reduction method developed by ourselves can remove part of the cloud data outside the main body of the object (object cloud data is obtained for a three-dimensional scanner))