搜索资源列表
CircleDetectionArithmetic
- 在Matlab上基于Hough变换开发的快速圆检测方法，可应用到虹膜图象的检测中，完成对虹膜内、外边缘的定位。 -in Matlab Hough transform based on the rapid development of a round detection method can be applied to the detection of iris image, the completion of the iris, outside edge positioning.
IrisLocate
- 虹膜定位Matlab源代码，采用圆检测的方法，有友好的GUI操作界面，学习使用均方便。-iris location Matlab source code, using a round, the method of testing a friendly GUI interface. learning to use both convenience.
BPclassification
- BP学习算法应用——模式分类 应用动量BP学习算法对UCI提供的经典数据库——鸢尾属植物数据库进行分类，速度快，精度高。iris.arff为数据库文件，可用Weka数据挖掘软件打开。Iris.csv为源代码读取的数据文件，通过Weka软件转换得到。 将源文件Iris_classify.m和Iris.csv文件放入matlab的work文件夹中直接运行即可。
AllData
- 主要用matlab进行逻辑回归数据化处理等等一些啊什么的(The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. One class is linearly separable from the other 2; the latter is NOT linearly separable from each other.)
iriscode
- 基于MATLAB的虹膜识别源代码（The source code of iris recognition based on MATLAB）(The source code of iris recognition based on MATLAB)
MATLAB
- 鸢尾花识别程序，可以运行，望大神调整一下。(Iris flower recognition program,Can run,look great god adjustment.)
Matlab_features-20171123T110231Z-001
- iris recognition zipped file
BP神经网络-鸢尾花分类代码+文档
- BP神经网络-鸢尾花分类代码+文档，可以直接运行(BP neural network - iris code + document, can run directly)
IrisDetectionHough-master
- matlab code for iris detection
模式识别实验一
- matlab,模式识别，基于Iris数据设计编写两类正态分布模式的贝叶斯判别程序(Pattern recognition report, based on Iris data design, two kinds of Bayesian discriminant program for normal distribution mode are written.)
新建 360压缩 ZIP 文件
- 编写两类正态分布模式的贝叶斯分类程序 了解正态分布模式的贝叶斯分类判别函数(IRIS simulation of Bias pattern recognition)
Irisflower-class-code
- 实验将Iris花的数据集分为2组，每组各75个样本，每组中每种花各有25个样本。其中一组作为以上程序的训练样本，另外一组作为检验样本。为了方便训练，将3类花分别编号为1，2，3 。 使用这些数据训练一个4输入（分别对应4个特征），3输出（分别对应该样本属于某一品种的可能性大小）的前向网络。(The data set of Iris flower was divided into 2 groups, 75 samples in each group. Each group had 25 sam
Image quality evaluatio
- 这是一个虹膜识别的程序，含有人机交互是界面。是个不错的设计。(This is a program of iris recognition, which includes human computer interaction and interface. It's a good design.)
MATLAB实现鸢尾花数据集分类
- 基于BP算法的鸢尾花数据集分类，在MATLAB平台下编程实现BP算法，可计算识别率。(Based on the BP algorithm, iris data set is classified. Under the MATLAB platform, the BP algorithm is programmed and the recognition rate can be calculated.)
S_SVM
- 在matlab平台上使用SVM对iris数据集进行分类(use SVM Classification of Iris data set in matlab)
NEWIRIS
- 在MATLAB下实现鸢尾花的分类，高效准确率高，备注详细(The iris classification is achieved under MATLAB, with high accuracy and high accuracy, and detailed remarks.)
IrisTest
- 运用matlab对鸢尾花数据进行了基于knn算法的分类编程(Using MATLAB to classify iris data based on KNN algorithm, we can refer to it.)
knn
- matlab 实现鸢尾花数据集的KNN算法(Matlab implementation of KNN algorithm)
k-means算法的Matlab实现以及Iris数据集
- k-means算法实现以及Iris数据集(Implementation of K-means algorithm and Iris data set)
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.)