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cp
- matlab 利用fisher线形判别方法进行模式识别-Matlab using linear discriminant method for pattern recognition
fisherByMatlab
- fisher算法在多类情况下的matlab实现,主程序调用multiclassfisher既得。-fisher algorithm in a wide range of circumstances to achieve the Matlab, main program called multiclassfisher acquired.
KernelFisher
- 一个核fisher的代码,同样由matlab实现
fish
- Fisher线性判别是线性分类算法中最基本的一种算法,其基本思想是将d维空间中的样本投影到一条最易于分类的投影线上,再进行分类。本文将用使用matlab实现Fisher线性判别算法,并给出4种阈值选择的方法。
moshishibie
- 关于模式识别的几个matlab程序,包括fisher;parzen窗;感知函数等等。-Matlab on the number of pattern recognition procedures, including the fisher parzen window perceptual function and so on.
fisherface
- 本文在Matlab7.5下面实现了fisherface算法,选用的人脸库是ORL,其中有40 人,每人有10幅不同的人脸图像。本文选取了每人9幅作为训练(1幅作为测 试),图像大小为112x92。-In this paper, the following Matlab7.5 realized fisherface algorithm, selection of face database is ORL, in which 40 people, each person will have
nnn
- fisher分类,matlab实现。fisher分类,matlab实现-fisher,matlab
F_Score
- this program is utility program for discrimination criteria in channel selection of BCI system based on F_Score criterion.
fisher_matlat
- 简单的分类器的实现,包括最小线性法,贝叶斯、fisher准则等,可以学习借鉴。-fisher matlab
tycfgsmatlab
- matlab源程序: 用Fisher两类判别法对样本进行分类 对样本进行主成分分析 用最短距离算法的系统聚类对样本进行聚类 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 -matlab source: The Fisher discriminant method, two types of samples to classify the samples by principal component analysis system using the shortest
fisher_v3
- 基于matlab环境下fisher分布算法的实现,利用矩向量法得到的-Matlab environment based on fisher distribution algorithm, obtained by using moment vector
MatlabBayesFisherClassifierDesign
- 在matlab中bayes和Fisher分类器设计的小程序代码,实现垃圾邮件和正常邮件的分离,比较不同维度,不同样本,两种分类器正确率的优劣,适合初学者学习-In matlab the bayes and Fisher classifier design a small program code, junk mail and regular mail to achieve the separation of comparing different dimensions, different sa
fish
- The fisher iris data file in matlab (in case you do not have it). usually it comes with matlab and is called "fisheriris.mat" and can be read without specifying the path of the file.
prediction-and-distinction
- 使用MATLAB完成灰色预测,fisher 判别,以及距离判别-Done using MATLAB Grey, fisher discriminant and distance criterion
Fisher字典学习
- 基于稀疏表示的高光谱图像分类的Fisher字典学习方法matlab代码(Hypersynthetic image classification based on sparse representation in Fisher dictionary learning matlab code.)
feature-selection-master
- 最小冗余最大相关性(MRMR)(MRMR.M) 需要外部库。详情请见MRMR。下载一个更新版本的互信息工具箱 偏最小二乘(PLS)回归系数(ReGCOEF.m) 使用MATLAB统计工具箱中的PLSReress ReliefF(分类)和RReliefF(回归)(ReleFracePr.M.) 从Matlab STATS工具箱中包装Releff.m。这是Matlab R2010B以后提供的。 ReliefF的另一个选择是使用ASU特征选择工具箱中的代码。这使用WEKA
KNN与FISHER准则分类
- 基于matlab的KNN以及FISHER准则分类代码,附带算例。(Matlab based KNN and FISHER criteria classification code, with examples.)
鸢尾花分类
- 使用四种方法进行鸢尾花分类:最小距离分类器,K 近邻法,感知器,Fisher 准则。(Four methods are used to classify iris: minimum distance classifier, K-nearest neighbor method, perceptron and Fisher criterion.)
鸢尾花 数据的处理
- MATLAB 利用Fisher分析和核Fisher分析对鸢尾花数据集进行分类,可以发现Kfisher 可以较好地对非线性数据的分类(MATLAB USES Fisher analysis and core Fisher analysis to classify the iris data set, and it can be found that Kfisher can classify the nonlinear data well)