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This project compares the performance of SOM versus LVQ in classification problems.
Given two data sets:
‘iris.dat’ has 150 patterns of 3 classes with 4 features.
‘wine.dat’ has 178 patterns of 3 classes with 13 features.
For SOM, use its alg
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多种实现三组数据集（iris测试数据）分类的算法实现（LMS、MSE、HK等。-several methods(LMS,MSE,HK) to achieve classification of three data set（iris data set).
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matlab应用实例：基于神经网络的分类，用的是iris数据集做例子-matlab applications: classification based on neural network, using the iris data set an example
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bp神经网络实现iris数据分类，非常好用，，，，，，，，，，，，，，，，，，，matlab-bp neural network to achieve the the iris classification of data, and very easy to use,,,,,,,,,,,,,,,,, matlab
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用matlab实现iris数据分类，适合初学者的一个很有用的算法-Using matlab to achieve iris data classification, suitable for beginners of a useful algorithm
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用于对IRIS数据进行分类的各种分类器，用于对多维采样点进行无监督分类。可根据类别数修改分类器，模式识别作业的部分代码。-IRIS data for the various classification categories, for sampling points on the multi-dimensional non-supervised classification. Can be modified in accordance with several types of classifi
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neurak network classification for iris data
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对随机选择的iris数据，用LDA进行特征提取，然后用K近邻分类器分类的完整程序-Feature extraction using LDA,and perform classification via KNN
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一个用PCA和LDA降维，并用knn分类的人脸识别例程-A dimension reduction using PCA and LDA, and face recognition with the knn classification routines
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matlab语言编写的实现iris数据的最小错误贝叶斯分类-Iris data to achieve the minimum error Bayesian classification
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matlab语言编写的iris数据的单层感知器分类-matlab data written in a single layer perceptron iris classification
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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
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iris数据集的贝叶斯分类实验，外带实验报告一分-Bayesian classification of iris data set experiment, experimental report of a sub-outer
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用于svc分类， 用SMO实现SVC，并在UCI数据集Iris上进行实验,2. 可借鉴现成SVM软件包，实现回归分析。
-For svc classification, using SMO to achieve SVC, and in the UCI Iris data set on the experiment, 2. SVM can learn ready-made packages, to achieve regression analysis.
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利用M-SVM 对Iris数据及进行分类-The use of M-SVM and the classification of Iris data
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iris fisher classification
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基于KNN算法的鸢尾花分类代码，可一直在matlab上运行。-Iris classification code based on the KNN algorithm, has been running in matlab.
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有导师学习神经网络的分类——鸢尾花种类识别-Supervised learning neural network classification- iris species identification
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In this report, we devise a methodology for identifying the species of an iris amongst 3 based on 4 distinctive features. We first cover the constitution of the data set and input patterns. We then determine the layout and structure of the neural net
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使用iris鸢尾花数据集测试rbf神经网络的分类效果(Using iris iris dataset to test the classification effect of RBF neural network)
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