搜索资源列表
PCA_LDA.rar
- 《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 f
LDA
- 使用matlab实现的LDA（线性判别分析）分类器，以及PCA的实现-Implemented using matlab LDA (linear discriminant analysis) classifier, and the implementation of PCA
LDA
- matlab 实现的LDA算法和线性分类器的实现，其中包括好几个.m文件-matlab implementation of the LDA algorithm and the realization of the linear classifier, which includes several. m file
facedetection
- PCA、LDA人脸检测，压缩包里实现了PCA、LDA、最小距离分类器，人脸检测！-PCA, LDA face detection, compression bag to achieve the PCA, LDA, minimum distance classifier, face detection!
malic
- 它是SourceForge上的一个开源项目，使用Malib实现实时处理，CSU Face Identification Evaluation System进行人脸识别。算法包括：主成份分析(principle components analysis (PCA)),a.k.a eigenfaces算法,混合主成份分析,线性判别分析(PCA+LDA),图像差分分类器(IIDC),弹性图像匹配算法(EBGM)等等 Malic is realtime face recognition system
daima
- （压缩包里一共有5个代码） pca+lda+粗糙集+模糊神经网络 saveORLimage.m将ORL人脸库分为测试集ptest和训练集pstudy存为imagedata.mat 1.savelda.m将人脸库先进行pca降维，再用lda进行特征提取，得到新的测试集ldatest和训练集ldastudy存为imageldadata.mat 2.对ldastudy进行离散化(discretimage.m)，得到离散化矩阵disdata,存入到imagedisdata.mat
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
LDA
- 有几类样本点，试利用LDA分类器、求出其分界面，并分析这类分类器的特点。-There are several types of sample points, try using Fisher classifier, find the sub-interface, and analyze the characteristics of such classification.
lda
- lantent dirichlet allocation文本分类c#代码-lantent dirichlet allocation text classifier
LDA
- 线性判别分析的分类器算法,用于脑电信号的判别分析-the classifier of linear discrimination analysis
lda-c-dist
- lda贝叶斯文本分类器，c语言实现 linux运行环境-lda Bayesian text classifier, c language runtime environment linux
LDA
- LDA:线性判别分析方法。用于实现线性数据降维。采用K近邻分类器对数据进行分类-LDA: linear discriminant analysis method. Used to achieve linear data dimensionality reduction. Using K-nearest neighbor classifier for data classification
LDA-PCA-classifier
- this program will help you to perform LDA and PCA signal processing tools for classifing
LDA
- 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-example: demo creatData: generate data creatTrainLabelMat: generating data label LDA: Extract fisherface knnRecogni
LDA_classification_algorithm
- LDA分类器算法matlab实现，简单易用-LDA classifier based on MATLAB
LDA-in-matlab
- LDA i.e Linear Discriminant Analysis classifier using Matlab. Which is used for classifying data over a dataset, that is labeled.
LDA-human-face-identity
- 人脸识别的matlab程序，包含有 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-Face recognition matlab procedures, including a example: demo program creatData: generate data creatTrainLabel
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
LDA
- 本程序是一个线性判别式分析(LDA)分类器程序.里面有完整的源码-This procedure is a linear discriminant analysis (LDA) classifier program. There is a complete source code
log-n-load
- Its linear discriminant analysis