搜索资源列表
Fisher
- Fisher判别法是历史上最早提出的判别方法之一，其基本思想是将n类m维数据集尽可能地投影到一个方向（一条直线），使得类与类之间尽可能分开。-This package include the training, testing and a demo of Fisher LDA. The testing code also uates precision, recall, accuracy and F1-measure.
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 Lin
fisher
- fisher准则的pca人脸识别程序example: 演示程序 creatData:生成数据 creatTrainLabelMat:生成数据标签 LDA:提取fisherface knnRecognition:knn分类器 knnsearch:knn搜索-Fisher criterion example: face recognition program PCA demonstratio
lda_color_model
- matlab实现，基于lda训练实现火焰的可判别颜色模型，可以应用在其他的检测识别上，写文章可以借鉴-matlab achieve, achieve flame lda based training can distinguish the color model that can be applied to other detection and identification, can learn to write articles
UMLDACodes1.0
- 不相关LDA算法，可以用来进行人脸识别，文件中包括相关论文、代码、工具箱，很实用-Irrelevant LDA algorithm, can be used for face recognition, document include the relevant papers, code, toolbox, very practical
PCA
- 没有使用matlab自带工具包，而是使用了自写的PCA，来用其对数据进行线性分类。-without using the toolbox given by matlab，i write pca myself and implement it into LDA classification.
kda-1.0
- 基于KDA的人脸识别首先利用核方法将人脸图像数据集非线性映射到一个高维特征空间中，然后在高维特征空间中利用LDA进行线性特征提取-Face recognition based on first use of nuclear KDA method will face image data set nonlinear mapping to a high dimensional feature space, and then use LDA
LDAGibbsSampler
- lda gibbs sampler,which is implement in Java.
mulLDA
- 亲自试验出来的对于手写体的LDA分类，最后效果是73.13 ，大家想对LDA了解更深的话可以看看！是matlab版的。 -Personally tested out for LDA classification handwriting, the last effect is 73.13 ,we want a deeper understanding of LDA, then you can see! Is matlab versio
LDASORT
- LDA先降维再对USPS手写体进行排序，虽然效果不太好，但可以为大家提供一种思路。-LDA dimension reduction first and then the USPS handwritten sort, although the effect is not very good, but it can provide you an idea.
LDA
- Linear Discriminant Function implementation on Iris Dataset
matlab
- 包含数据，可以直接运行。采用LBP特征进行行人和非行人图像的分类，分类方法是LDA。-It contains data that can be run directly. Use LBP features pedestrian and non-pedestrian image classification, classification is LDA.
CAN-code
- Clustering and Projected Clustering with Adaptive Neighbors -We proposed a CAN clustering algorithm with adaptive neighbors, the learned similarity matrix can be directly used for clustering, without having to perform
LDAGibbsSampling-master
- LDA主题模型的吉布斯采样，用于对文档进行话题潜在分类-LDA topic model
LDA
- Recent Advances in Bayesian Machine Learning
myLDA
- Linear Discriminant Analysis（LDA）线性判别分析分类-Linear Discriminant Analysis（LDA）
LDA_HLDA_BHLDA
- 实现了人脸识别LDA, HLDA, BHLD三种算法MATLAB的仿真-It include LDA, HLDA and BHLD algorithms for face recognition.
fisher_classify
- MATLAB版本的LDA线性分类器,具体包括计算类内离散度矩阵，类间离散度矩阵，以及训练集各类在新坐标轴上的投影。代码原来用于肌电特征的分类，亦可用于其他机器学习案例-the LDA classifier wrote in MATLAB
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。
simpleface
- it consist of a matlab m file, which does face recognition through PCA and LDA of your choice, should be selected first.-it consist of a matlab m file, which does face recognition through PCA and LDA of your choice, sho