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ID3.m
- 这个Matlab环境下的模式分类算法集提供了二维两类分类问题的很多可视化程序-the Matlab environment under the classification algorithm provides a two-dimensional set two classifications of many visual programming
LeastSquaresSupportVectorMachineClassification
- 二乘支持向量机对细胞的分类 本实验为二分类问题 数据来自威斯康星州(美国州名)医院的乳癌数据-Least squares support vector machine classification of cells
SSVM_MATLAB
- MATALB 编写的最小二乘支持向量机，可实现多分类问题，包含双参数优化。-LSSVM compiled by MATLAB language,It can realize multi-classification,and work very well.
SVM-hssvm1.0.1
- HSSVM是一个用超球SVM（Hyper-Sphere Support Vector Machines）模型求解多分类问题的工具包，采用Java语言实现。开发该程序的主要目的，是利用超球SVM求解模型代替传统上借助于解二分类问题的经典SVM模型来求解多分类问题。本文将论述该程序的主要实现细节，包括相关算法及设计原理的描述。-HSSVM is an ultra ball SVM (Hyper-Sphere Support Vector M
otsu_2
- 适用Otsu方法做阈值分析。阈值决策的依据是最大类间方差，这种方法的依据就是类间方差，本程序仅仅适用与二分类问题。-thresholding algorithm using Otsu
LS-SVMlab1.5(advanced)
- 最小二乘支持向量机算法程序，可用于解决多类分类问题-Least squares support vector machine procedures that can be used to solve multi-class problem
adaboost
- adaboost智能算法源程序，将若分类器反复训练得到强分类器，用于二分类问题-adaboost intelligent algorithm source code, will be repeated if the classifier has been trained strong classifier for the two classification
bayesgood
- 数据挖掘中分类算法贝叶斯算法，用于二分类问题-Data mining classification algorithm of bayesian algorithm is used for binary classification problem
TWSVM
- 借助(线性)孪生支持向量机对二分类问题的求解程序。-Using twin support vector machines to solve binary classification problems.
TWSVM(2)
- 借助（非线性）孪生支持向量机，来解决二分类问题。-Twin support vector machine to solve the problem of binary classification with the (non-linear).
zdjg
- 自己编写的一个，小型的最大间隔法求二分类问题的程序。-I have written a small maximum interval Method to solve two classification procedures.
classifer
- 二分类问题采用包括逻辑回归、最小二乘法、感知器算法（按下space不断迭代）、svm线性分类，另外还有高斯分线性分类（待完善），针对平面上两类点进行分类-Second classification using logistic regression, the method of least squares, perception algorithm (Press space iteratively) svm linear classif
libsvm-mat-2.89-3
- SVM的多分类问题MATLAB工具包。传统的SVM只支持二分类问题，MATLAB自带的工具包也存在同样的问题。可以在setpath中导入此包，便可轻松将SVM问题扩展到多分类的层面。-A matlab toolkit to solving multi-classification problems based on svm. Traditional svm and the matlab toolkit svmtrain can on
BP
- 一个简单的神经网络实现二分类问题，里面包含代码，以及训练集和测试集的数据，可以直接用的，对初学者是不错的资源-A simple neural network to achieve the two-class problem, which contains the code, as well as training and testing data sets can be directly used, is a good resource
lssvm
- 最小二乘支持向量机二分类问题实例程序，了解最小二乘支持向量机的编程方法，数据方式-lssvm classification
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.)
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.)
SVM
- 关于SVM编程算法实现示例，实现二分类问题(a program demo about SVM)
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)