搜索资源列表
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
- 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)