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IrisFisher
- 利用经典的iris数据进行核fisher分类
Fisher520
- 模式识别分类器的设计，此为fisher法源码，经调试通过。所用数据为标准IRIS。
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
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.
handleParInfoGain
- This file gives an example how to use the function "ParInfoGain.m" The user can define if a matlabpool should be used or not. This file shows an example using the well known fisher iris datafile
CODE
- 1.GeometricContext文件是完成图片中几何方向目标分类。 参考文献《Automatic Photo Pop-up》Hoiem 2005 2 GrabCut文件是完成图像中目标交互式分割 参考文献《“GrabCut” — Interactive Foreground Extraction using Iterated Graph Cuts》 C. Rother 2004 3 HOG文件是自己编写的根据HOG特征检测行人的matlab代码 4 虹膜识别程序
Graphics-using-SAS-iml
- Graphics using SAS/IML: Fisher’s Iris Data This code generate 4 scatter plots and prints them on a single page. Scatter plots of sepal length versus petal length, sepal width versus petal width, sepal length versus sepal width, and petal length ver
iris
- iris fisher classification
rn
- iris fisher classifier
distance_based_all
- The matlab program classifies the species of fisher iris data based on distance based approaches (euclidean, mahalanobis, etc.)
3-2
- Fisher判别实现鸢尾花数据集中三类特性两类样本情况下的分类-Fisher discriminant achieve Iris dataset classified into three categories characteristic of the two kinds of case
Bayes_hypothesis
- Solves Fisher s standard problem of iris classification
LinRegr
- do multiple linear regression on fisher s iris as laboratory work. do multiple linear regression on fisher s iris as laboratory work.-do multiple linear regression on fisher s iris as laboratory work. do multiple linear regression on fishe
程序
- Fisher判别适合于两类的判别分析。本文采用的鸢尾花数据库中鸢尾花类别有三类，所以先采用Fisher判别对数据进行二分类判别分析，然后采用一对一进行多分类。(Fisher discriminant analysis is suitable for two kinds of discriminant analysis. There are three categories of iris in the iris database in this paper, so the Fisher disc
iris
- 著名的统计学家R.A.Fisher在20世纪30年代中期提出来的鸢尾花数据集(The famous statistician R.A.Fisher introduced the iris data set in the mid 1930s)
bp神经网络
- Matlab实现前向神经网络的方法 本文以Fisher的Iris数据集作为神经网络程序的测试数据集(Implementation of feedforward neural networks by Matlab)
fisher判别分析
- 利用fisher判别分析对于鸢尾花数据集进行分类(Fisher discriminant analysis was used to classify iris data sets)
iris_data
- Iris Data Set（鸢尾属植物数据集）是我现在接触到的历史最悠久的数据集，它首次出现在著名的英国统计学家和生物学家Ronald Fisher 1936年的论文《The use of multiple measurements in taxonomic problems》中，被用来介绍线性判别式分析。在这个数据集中，包括了三类不同的鸢尾属植物：Iris Setosa，Iris Versicolour，Iris Virginica。每类收集了50个样本，因此这个数据集一共包含了150个样本。
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)