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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线性判别分析实验
- LDA快速学习工具包,对于初学者有很好的帮助作用。(help you learn about LDA fast)
shiyan2
- 模式识别相关实验 Fisher线性判别准则(Pattern recognition)
fisher_sonar
- 采用matlab语言编写fisher线性判别方法对sonar数据进行分类(Using matlab language, fisher linear discriminant method was used to classify sonar data)
程序
- 模式识别在MATLAB程序下的有关算法程序,包括Fisher分类,ML分类,parzen窗分类,直方图画法,roc曲线,roc分类等(Pattern recognition in the MATLAB program related algorithm program, including Fisher classification, ML classification, Parzen window classification, histogram drawing, ROC curve, RO
Fisher_3d
- fisher算法的matlab代码实现,模式分类课后实验部分(Fisher algorithm matlab code to achieve, after the class part of the experimental classification)
实验程序
- 适用于对模式识别感兴趣的同学,是Fisher准则的MATLAB源码,希望对你有帮助,这个代码可以直接运行,你可以更改自己感兴趣的参数。(For students interested in pattern recognition, it is the MATLAB source code of Fisher rule, which is helpful for you. This code can run directly, you can change the parameters you a
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)