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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.
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
Manifold
- 很不错的流形学习算法 包含了MDS PCA ISOMAP LLE等算法-Very good manifold learning algorithm includes the MDS PCA ISOMAP LLE, such as eight kinds of algorithms
pca--lle
- 通过使用LLE PCA两种方法相结合的思路，提高人脸识别的分别率-LLE PCA by using the idea of combining two methods to improve face recognition rate difference
mani
- 一款很好的matlab程序，具有MDS\PCA\ISO\MAP\LLE\HESSIANLLE\LAPLACANDIFFUSIONMAP\LTSA的图像分析功能 -Matlab a very good program, with MDS \ PCA \ ISO \ MAP \ LLE \ HESSIANLLE \ LAPLACANDIFFUSIONMAP \ LTSA' s image analysis capabilities
mani
- 运行在MATLAB上，可以实现PCA，LLE，LE，HLLE，LTSA等算法-Run in MATLAB, you can achieve the PCA, LLE, LE, HLLE, LTSA and other algorithms
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
drtoolbox
- 图像处理工具箱，ISOMAP，lle,pca-Image Processing Toolbox, ISOMAP, lle, pca ......
drtoolbox.tar
- 流形学习工具包，包括了PCA，MDS，LLE，LTSA一些代码，对于初学应该有些帮助-The manifold learning kit including PCA, MDS, LLE, LTSA code should be some help for the beginner
drtoolbox.tar
- 用于降维的matlab工具包，包括PCA，LDA，LLE，等-Matlab Toolbox for Dimensionality Reduction Principal Component Analysis (PCA) Probabilistic PCA Factor Analysis (FA) Classical multidimensional scaling (MDS) Sammon mapping Linear Discriminant Analysis (LDA