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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
knn.kmeans.fisher
- 常用的分类方法,包括最近邻(NN),k均值(kmeans),k近邻,Fisher线性判别。-Commonly used classification methods, including nearest-neighbor (NN), k the mean (kmeans), k neighbors, Fisher linear discriminant.
fisher
- 这是一各关于线性判别函数分类的MATLAB程序,希望对大家的学习有所帮助-This is the one on the linear discriminant function classification MATLAB program, and they hope to learn from everyone
ar_dct_kda
- 在AR人脸库上进行DCT变换,使用DCT变换后的图像进行 kernel fisher discriminant analysis,其中kernel 函数可以自己选择-In the AR face database on the DCT transform, using the DCT transformed image kernel fisher discriminant analysis, which can choose the kernel function
Fisher_example
- Fisher线性判别分类器应用于IRIS数据集的例子-An example of Fisher linear discriminant Classifier applied on IRIS Data Set
KLFDA
- 这是一个关于Fisher线性判别分析的Matlab的m文件,给出了在高斯核下的程序源码。-This is a Fisher linear discriminant analysis on the Matlab m-file, given the procedures in the lower-Gaussian source.Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction.
the_Fisher_Linear_Discriminant_Method
- 模式识别的fisher线性判别方法,包括学习文档和实验源代码。-Fisher linear discriminant pattern recognition methods, including documents and experiment to learn the source code.
Sealrecognition
- 1、编制程序显示印章图像(24位真彩色位图); 2、读出位图中每一像素点的(R,G,B)样本值; 3、以RGB其中某两个(或三个)为坐标,取一定数量的图像点为分析样本,分析其坐标系中的分布; 4、采用本章学习的方法找到分类判别函数,对这些样本进行分类;(要求首先将印章与底纹区分,如有可能将印章、底纹、签字区分) 5、将分类后的结果标记到原始图像上,检查其效果。 -1, the preparation procedures showed that the seal image
FLDA
- 使用Fisher线性鉴别分析(FLDA)方法在ORL人脸数据库上进行人脸识别试验。ORL标准人脸库共包含40人,每人10幅共400幅BMP图像。-The use of Fisher linear discriminant analysis (FLDA) at Ways on ORL face database for face recognition test. Standard ORL face database contains a total of 40 people, 10 per pe
KFDA
- 此实验使用核Fisher鉴别分析(KFDA)方法在ORL人脸数据库上进行人脸识别试验。ORL标准人脸库共包含40人,每人10幅共400幅BMP图像。-This experiment the use of nuclear Fisher discriminant analysis (KFDA) method on ORL face database for face recognition test. Standard ORL face database contains a total of 40
DiscriminantAnalysis
- Implementation to linear, quadratic and logistic discriminant analysis, for examples
SDA
- Semi-Supervised Discriminant Analysis (Graph Embedding Way)
kfd2
- 基于核的fisher判别分析,中文文献,从各个核心期刊中收集,希望对大家有用-Kernel-based fisher discriminant analysis, English literature, from all the core collection of journals, U.S. hope to be useful
beiyesifenbu
- 分类判别中,bayes判别的确具有明显的优势,与模糊,灰色,物元可拓相比,判别准确率一般都会高些,而BP神经网络由于调试麻烦,在调试过程中需要人工参与,而且存在明显的问题,局部极小点和精度与速度的矛盾,以及训练精度和仿真精度间的矛盾,等,尽管是非线性问题的一种重要方法,但是在我们项目中使用存在一定的局限,基于此,最近两天认真的研究了bayes判别,并写出bayes判别的matlab程序,与spss非逐步判别计算结果一致。-Classified Identifying, bayes discrim
fisher_classify
- function [clusters,c,F]=fisher_classify(A,B,data) fisher判别法程序 输入A、B为已知类别样本的样本-变量矩阵,data为待分类样本 输出C为判别系数向量 -function [clusters, c, F] = fisher_classify (A, B, data) fisher discriminant method procedures input A, B for a sample of known typ
Discriminant
- 简单的判别函数进行模式分类,分两类和三类问题-Simple discriminant function for pattern classification, be classified into two categories and three categories of issues
partest
- This function calculate the performance, based on Bayes theorem, of a clinical test. The input is based on a 2x2 matrix (true positive, false positives false negative, true negatives). The Outputs are: - Prevalence of disease - Test Sensibility
Matlab
- Matlab数据统计和分析的程序,包含下面所列的多种算法的 MultiLineReg 用线性回归法估计一个因变量与多个自变量之间的线性关系 PolyReg 用多项式回归法估计一个因变量与一个自变量之间的多项式关系 CompPoly2Reg 用二次完全式回归法估计一个因变量与两个自变量之间的关系 CollectAnaly 用最短距离算法的系统聚类对样本进行聚类 DistgshAnalysis 用Fisher两类判别法对样本进行分类 MainAnalysis 对样本进行主成分
KDA
- KDA: Kernel Discriminant Analysis
Discriminant computation
- Discriminant computation