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2-3@
- a classification base on Baysian classifier , I did pca, lda, normalization on features either
2-4@
- this the code written for baysian classifier that contains lda,pca, normalization-this is the code written for baysian classifier that contains lda,pca, normalization
panahi
- a good algorithm for classification performance improvement (use PCA and LDA respectively and then implement the resulted data set into your classifier)
06102001
- 机器学习》课上的作业，PCA和LDA降维，尽管网上很多，但很少注释，另外细节上也没注意。这里有很详细的注释。另外还附上一个Naive贝叶斯分类器，大家可以作比较。附带的图像包是OLR人脸。ReducedDim为想要提取的特征数，不是百分比！-" -Machine learning" classes on the homework, PCA and LDA dimensionality reduction, even though a lot of online, but few notes, o
PP
- 基于SIFT+Kmeans+LDA的图片分类器的实现源码。 博文参考：http://www.cnblogs.com/freedomshe/archive/2012/04/24/2468747.html-The pictures classifier based on SIFT, Kmeans and LDA. Blog Reference: http://www.cnblogs.com/freedomshe/archive/2012/04/24/2468747.html
linear
- Linear discriminant analysis (LDA) and the related Fisher s linear discriminant are methods used in statistics, pattern recognition and machine learning to find a linear combination of features which characterizes or separates two or more classes of
PCA
- 在这篇文章中，我们主要阐述了基于PCA和LDA的人脸识别技术。这个技术包含两个步骤：首先，我们通过PCA将人脸图片从原始向量空间中提取到子向量空间——特征脸空间；然后，再通过LDA获得一个线性分类器。-In this article, we mainly elaborated based on PCA and LDA face recognition technology. This technique consists of two steps: First, we will face ima
LDAPminumum_distance
- full implementation to LDA with Minumum distance Classifier for face recognition and easy to implement.
1111_10
- this paper has used gabor filter for feature extraction and for feature reduction PCA+LDA has been used. for classification minimum distance classifier is used. PCA+LDA shows better performance than PCA or LDA alone
LDA_algorithm
- Linear discriminant analysis (LDA) and the related Fisher s linear discriminant are methods used in statistics, pattern recognition and machine learning to find a linear combination of features which characterizes or separates two or more classes of
project1_code
- 这是matlab编写的3个常用机器学习分类器代码。其中包括了： 1）PCA 分类其；2）LDA分类器：3）naive贝叶斯分类器。 3个算法的实现参考了《Introduction to Machine Learning》。 除了这3个分类算法的实现外，代码里面还包含了用于测试的main.m 主程序和一个实验的简要报告。实验在著名数据集acoustic_train_data 上进行。-This source code includes the implementation of three f
LDA_Linear-Discriminant-Analysis
- 将高维的模式样本投影到最佳鉴别矢量空间，以达到抽取分类信息和压缩特征空间维数的效果，投影后保证模式样本在新的子空间有最大的类间距离和最小的类内距离，即模式在该空间中有最佳的可分离性，与PCA区别：LDA考虑分类标签，属于有监督分类。-Linear discriminant analysis (LDA) is a generalization of Fisher s linear discriminant, a method used in statistics, pattern recognit
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 demonstration program CreatData: generat
FisherFace
- 基于LDA线性辨别分析的人脸识别算法，采用KNN分类器，可直接运行，自带数据库，识别率有88 。-LDA face recognition algorithm based on linear discriminant analysis, using KNN classifier, can be directly run, comes with a , the recognition rate of 88 .
ldaknn
- matlab code for lda and knn based classifier
clssifier
- 自带100个数据点，二分类，二属性，基于lda分类(Linear classifier based on LDA)