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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
SVM
- In this paper, we show how support vector machine (SVM) can be employed as a powerful tool for $k$-nearest neighbor (kNN) classifier. A novel multi-class dimensionality reduction approach, Discriminant Analysis via Support Vectors (SVDA), is in
KERNEL-LDA
- Kernel Discriminant Analysis a kernel extension of Linear Discriminant Analysis technique which is a well-known feature extraction technique.-Kernel Discriminant Analysis is a kernel extension of Linear Discriminant Analysis technique which is a well
drtoolbox
- Dear all find here important tool box for dimension reduction. TOOL box contaion PCA, ICA, LBP, Kernel LDA, Kernel PCA etc Enjoy- Dear all find here important tool box for dimension reduction. TOOL box contaion PCA, ICA, LBP, Kernel LD
drtoolbox
- Matlab针对各种数据预处理的降维方法，源码集合。-Currently, the Matlab Toolbox for Dimensionality Reduction contains the following techniques: Principal Component Analysis (PCA) Probabilistic PCA Factor Analysis (FA) Sammon mapping Lin
KLFDA
- matlab论坛里找到的使用自己的数据进行实验，可用。KFDA里就是使用例程。里面是有5类数据。通过高斯核进行LDA分类。-by using the FDA with Gaussian kernel，to classify five different patterns。
K-LDA
- KFDA是FDA进行首先投影到核空间，然后进行判别分析，核技巧提高了算法的可行性。-KFDA said the FDA is first projection in kernel space, and then the discriminant analysis, nuclear techniques to improve the feasibility of the algorithm.
lda_kernelized
- This file was written by Bilwaj K. Gaonkar This is intended to provide an LDA implementation for high dimension low sample size data
K-LDA
- 经典kernel LDA算法，可用于人脸识别算法，很好用(Classic kernel LDA algorithm, can be used for face recognition algorithm, very good use)