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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 Machines) to solve multi-classi
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
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 only support for bi-classificati
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
implement[by-faruto]
- 台湾林教授较为完整的支持向量机程序，用于对数据分类，对二值分类问题具有很好的效果-Professor Lin of Taiwan more complete support vector machine procedures used for data classification, for binary classification problems with very good results
svmpredict-(2)
- svm二分类问题，用于小样本的简单二分类-svm two classification problems, for a small sample of simple binary classification
LIBSVMSVC
- 基于libsvm的支撑向量机的双螺旋线的的二分类问题。-Two classification libsvm support vector machine based on the double helix.
2
- 用SVM进行多分类问题，对二分类问题的延伸，方法很有效-support vector machine
SVM_lusifa
- 用于求解支持向量机的二分类问题，对于现实问题进行预测分类-For solving SVM binary classification problem, for reality to predict classification
SVM
- 使用支持向量机算法对二分类问题进行预测，实现大数据分析的目标。(Support vector machine algorithm is used to predict the two classification problem, and achieve the goal of large data analysis.)
svm
- svm程序, 用于二分类问题，初学者可下载学习参考(it's a svm code which used for two classes . learners can download for studying .)
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.)
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)
LSSVM对乘坐高铁的行为预测（LSSVM二分类）
- 本代码是对某人群乘坐高铁行为的预测，其实就是一个典型的二分类问题，用LSSVM工具箱进行建模，最后用ROC曲线来反应分类效果。