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模式分类
- 该程序可以对二维三类样本进行分类，并画出分界面．学习过模式识别的人必看．要学习神经网络的人必看，代码简单，实用性强-the procedure three samples of two-dimensional classification and paint interface. Learning the pattern recognition Watchable. To study the neural network Watchab
SVM
- SVM(支持向量机)，二分类，多分类，多分类一对一，多分类一对多训练及测试matlab代码-SVM two classes muticlasses mutioneagainstone mutioneagainstall matlab code
hog_svm
- matlab实现hog+svm图像二分类(Matlab implementation of hog and svm images two categories)
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
LDAfenlei
- 此程序主要用来对iris数据集进行分类，主要训练二分类器。(This program is mainly used to classify iris data sets)
LBP算法实现图像的纹理分类
- 用LBP（局部二值模式）在MATLAB平台实现纹理分类(Using LBP to achieve texture classification in MATLAB platform)
SVM算法二分类
- 将支持向量机（SVM）用于模式识别，解决二分类问题，程序中包含训练集和测试集。(The support vector machine (SVM) is used for pattern recognition to solve the dichotomy problem, which includes training set and test set.)
BP神经网络多分类部分补充
- 这个是上一个java实现二分类的补充，兼容了二分类和多分类。(a neural network to solve multiclass division which implemented with java)
图片二值化
- 将灰度图片二值化进行识别分类处理，已达到图片识别效果(labview two valuehhhhhhhhh)
06-svmMLiA
- 采用SVM算法，用python语言实现的分类识别，可用于异常检测等二分类(Using SVM algorithm, using python language to achieve the classification of identification, can be used for abnormal detection and other two categories)
SVM
- 通过HOG获取特征，用SVM对图像进行分类。(The feature is acquired by HOG, and the image is classified by SVM.)
nn_classification
- 使用单隐层神经网络进行二分类 使用python语言，先生成一个数据集，无法（但尝试）用logistic回归对数据集进行二分类，最后使用单隐层神经网络对数据集进行分类(classify a dataset with a 3-dimensional hidden layer)
htru2
- 对脉冲星的二分类问题，利用逻辑回归，里面有详细的注解(For the two classification problem of pulsars, there are detailed annotations.)
LDA二分类代码（Matlab实现）
- 基于matlab的LDA算法实现，用于二分类问题(Implementation of LDA algorithm based on MATLAB)
matlab1
- 通过极限学习机对数据进行二分类，亲测有效好使(Two classifications of data by extreme learning machine.)
bayes_analyse
- 基于代价敏感的朴素贝叶斯二分类对于不均衡数据的处理(Cost sensitive naive Bayes two classification for unbalanced data processing)
UCI经典二分类数据集
- UCI经典二分类数据集，可借助R或python进行分析学习(UCI Classic Bicategorized Data Set, which can be analyzed and learned by R or Python)
SVM
- 利用三次二分类SVM实现三分类SVM，可以用自己的数据，完美运行。(Using the three-category SVM to implement the three-class SVM, you can use your own data to run perfectly.)
SVM 多分类
- 通过一对多，和多对一的方式，将二分类svm转化成多分类分类器(Through the way of one to many and many to one, the two classification SVM is transformed into a multi classification classifier)
统计学习_二分类_多分类
- 统计学习_二分类_多分类_李航 对于书里的算法实现和比较信息增益和信息增益比等