搜索资源列表
mani
- 图象降维算法,比如有名的LLE,PCA,ISOMAP......等,对研究图象分析的研究人员有很大的帮助-image dimensionality reduction algorithms such as the famous LLE, PCA, ISOMAP .... Image analysis of the study researchers will be very helpful
DimReduc
- 维数约简工具箱源代码，包括PCA、LLE等学习算法，可用于模式识别、数据挖掘和统计分析等。-dimension reduction toolkit source code, including the PCA, LLE and other learning algorithms can be used for pattern recognition, data mining and statistical analysis.
MATLAB_Codes_for_Dimensionality_Reduction
- 数据降维工具箱，包括一些典型算法，例如pca，lle，mds，lda等。
Hllesvmrbf
- lle和svm 的人脸识别算法代码，识别率可以打到80以上。
Robustlocallylinearembedding
- 一种针对流形学习算法LLE的改进算法介绍，采用它有利于提高流形学习算法降低噪声的干扰。
mani
- mani: MANIfold learning demonstration GUI by Todd Wittman, Department of Mathematics, University of Minnesota E-mail wittman@math.umn.edu with comments & questions. MANI Website: httP://www.math.umn.edu/~wittman/mani/index.html Last Modified by G
mani
- 包含了大多数流形学习方法的代码,有PCA,ISOMAP,LLE,HLLE
Matlab工具箱drtoolbox.tar.gz
- （PCA LDA LLE）各种降维方法Matlab工具箱
manifold.rar
- 基于matlab开发的一个简单的流形学习的工具箱，附带有使用说明,Matlab developed based on a simple manifold learning kit comes with instructions
Face-Recognition
- 这是流形学习算法LLE、ISOMAP在人脸识别中的应用，希望对大家有所帮助。-This is a manifold learning algorithms LLE, ISOMAP in face recognition, we want to help.
SLLE
- 稀疏流形建模及其在人脸识别中的应用论文介绍稀疏理论 以及sparse LLE -Sparse manifold modeling and its application to face recognition paper introduces the theory and sparse LLE sparse
swissroll
- 基于LLE（局部线性嵌入）算法的瑞士卷降维程序，程序自动生成瑞士卷，然后降维输出图像。-Based on LLE (locally linear embedding) dimensionality reduction algorithm Swiss roll program, the program automatically generates Swiss roll, then drop-dimensional output image.
swissroll
- 此文件包含生成swissroll数据集,并用LLE算法进行降维处理,很实用,应该对现在学习流形学习的同学有帮助。-This file contains data sets generated swissroll and dimensionality reduction algorithm with the LLE process, it is useful, it should now learning manifold learning for students help.
LDA_LLE
- 常见的流形学习方法LDA和LLE,此程序经过调试运行！-Manifold learning methods common LDA and LLE, this program after commissioning!
drtoolbox.tar
- 这是一个MATLAB工具箱包括32个降维程序，主要包括 pca,lda,MDS等十几个程序包，对于图像处理非常具有参考价值- ，This Matlab toolbox implements 32 techniques for dimensionality reduction. These techniques are all available through the COMPUTE_MAPPING function or trhough the GUI. The following techn
lle
- 实现非线性的数据降维，很简单的代码，比较容易明白(Achieve nonlinear data dimensionality reduction, very simple code, easier to understand.)
lle
- 此程序为局部线性嵌入，能够实现降维功能。(This program is locally linear embedding and can realize dimensionality reduction function.)