搜索资源列表
matlab_LDA
- 本程序采用线性判别分析方法实现的字符识别，达到较高的识别率。并给出了很多实验得到的识别结果-the adoption of linear discriminant analysis method of character recognition, reach a higher recognition rate. Given the many experimental results Recognition
pca_lda
- 这里面包含两个文件，可以实现主成分分析（PCA）算法和线性判别分析（LDA）算法。不过还需要CMatrix类的定义。-which contained two documents, can be achieved principal component analysis (PCA) algorithm and linear discriminant analysis (LDA) algorithm. But also need CMatrix class definition.
OLDA
- 正交线性判别分析（Orthogonal Linear Discriminant Analysis），可以用于数据降维上面。-orthogonal linear discriminant analysis (Orthogonal Linear Discriminan t Analysis), can be used for cutting down the data above.
KDA_QR
- 基于奇异值分解的核线性判别分析（Kernel Discriminant Analysis via QR Decomposition）。 -based on the singular value decomposition of the nuclear linear discriminant analysis (Kernel Discriminant An alysis via QR Decomposition).
BAYES
- 判别分析算法的贝叶斯算法C++程序，能对数据进行概率统计分类
LinearDiscriminant.rar
- 线形判别分析算法和knn最近邻算法的实现,Linear discriminant analysis algorithm and KNN nearest neighbor algorithm
lda.rar
- 关于线性（FISHER）判别分析的中文文献，从核心期刊中下载得到。,About Linear (FISHER) Discriminant Analysis of English literature, from the core journals have been downloaded.
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
classification
- 该程序包实现了几个常用的模式识别分类器算法，包括K近邻分类器KNN、线性判别方程LDF分类器、二次判别方程QDF分类器、RDA规则判别分析分类器、MQDF改进二次判别方程分类器、SVM支持向量机分类器。 主程序中还有接口调用举例，压缩包中还有两个测试数据集文件。-The package to achieve a number of commonly used pattern recognition classifier algorithms, including K neighbor class
fisher.m.tar
- 模式识别经典算法：fisher判别分析的二次优化形式实现。-Classic pattern recognition algorithms: fisher discriminant analysis achieved in the form of quadratic optimization.
featureExtraction
- 该程序包实现了模式识别中的两个特征提取算法，主成分分析PCA和线性判别分析LDA。采用C++语言编写，开发环境VS。 程序包还提供了两个测试样本文件。-The package to achieve the recognition of the two feature extraction algorithm, principal component analysis PCA and linear discriminant analysis LDA. Using C++ language, dev
svm
- 支持向量机(SVM)是数据挖掘中的一个新方法，能非常成功地处理回归问题(时间序列分析)和模式识别(分类问题、判别分析)等诸多问题，并可推广于预测和综合评价等领域，因此可应用于理科、工科和管理等多种学科-Support vector machine
Bayes_optimality_in_linear_discriminant_analysis.z
- 贝叶斯优化在线性判别分析中的应用，这是国外一个大牛写的程序，很有价值-This code is an implementation of the method Bayes Optimal Discriminant Analysis
461518386Yale_PCASVM
- 程序包实现了几个常用的模式识别分类器算法，包括K近邻分类器KNN、线性判别方程LDF分类器、二次判别方程QDF分类器、RDA规则判别分析分类器、MQDF改进二次判别方程分类器、SVM支持向量机分类器。-svm apply to fenlei
face-recognition-based-onn-fld
- 基于fisher线性判别分析的简易人脸识别，准确率较高-face recognition based on fld
fisher
- Fisher判别分析，能够通过该程序，实现相应的样本分类-Fisher discriminant analysis, through the program, realize the classification of samples of the corresponding
byes
- 贝叶斯判别分析，能够较好地实现对样本的分类，方法简单易行。-Bias discriminant analysis, to better achieve the classification of samples, simple and easy method.
julipanbie
- 距离判别分析，能够较好地实现对样本的分类，方法简单易行。-Distance discriminant analysis, to better achieve the classification of samples, simple and easy method.
netlab模式分析工具箱
- matla模式识别工具箱，图像模式识别工具箱。辅助判别分析研究。(Matla pattern recognition toolbox, image pattern recognition toolbox. Auxiliary discriminant analysis.)
Matlab偏最小二乘法用于判别分析
- MATLAB偏最小二乘法用于判别分析，亲测可用(The partial least squares method of MATLAB is used for discriminant analysis, and the pro-test is available.)