搜索资源列表
SVM数据分类预测
- 包含程序和试验数据,已进行MATLAB试运行。可以实现支持向量机对数据进行分类的功能。并进行了案例扩展,讨论了数据归一化对支持向量机的分类结果的影响,讨论了核函数对分类结果的影响。
SVM.VC实现的中文文本分类器
- 一种使用VC实现的中文文本分类器,实现了支持向量机,一种使用VC实现的中文文本分类器,实现了支持向量机
SVM1.rar
- 支持向量机,用于分类,含训练集与测试集。,supprot vector machine
classification
- 该程序包实现了几个常用的模式识别分类器算法,包括K近邻分类器KNN、线性判别方程LDF分类器、二次判别方程QDF分类器、RDA规则判别分析分类器、MQDF改进二次判别方程分类器、SVM支持向量机分类器。 主程序中还有接口调用举例,压缩包中还有两个测试数据集文件。-The package to achieve a number of commonly used pattern recognition classifier algorithms, including K neighbor class
958346svmlight
- 支持向量机分类器 训练器 可以直接使用 C++语言实现 SVMLight-Support Vector Machine classifier training can direct the use of C++ language SVMLight
Classification_toolbox
- 用于分类的一个工具箱,内含支持向量机、神经网络、主元分析、多变量样条等方法的matlab源代码,还有用户手册。-A tool for classification, including support vector machines, neural networks, principal component analysis, multivariate methods such as spline matlab source code, as well as user manuals.
sum1all
- 一个毕业程序设计,是用小波和支持向量机对电能质量扰动的识别与分类,主要利用的能量特征。-A graduate program design is the use of wavelet and support vector machines for power quality disturbance recognition and classification, the main characteristics of energy use.
HSVM
- java实现的支持向量机分类,可用于教学以及交流-java realization of support vector machine classification, can be used for teaching as well as the exchange of
119128684sc
- 支持向量机分类工具箱算法-Support Vector Machine classification algorithm toolbox
prtools
- 一个强大的统计模式识别工具箱,包含高斯分类器,高斯混合模型,主成分分析,支持向量机等常见分类方法。-A powerful statistical pattern recognition toolbox, including the Gaussian classifier, Gaussian mixture model, principal component analysis, support vector machines and other common classification met
svdd
- 超球面支持向量机,一种构建超球面来进行分类的单类svm -Ultra-spherical support vector machine, a super-spherical to build a single-category classification SVM
SVM_luzhenbo
- 支持向量机工具箱,可进行分类,预测等,实现了四种支持向量机工具箱的分类与回归算法,有实例-Support Vector Machine Toolbox, it can conduct classification, prediction and so on, implementation of the four support vector machine toolbox classification and regression algorithm, has examples of
svmclass1
- 支持向量机分类程序,Matlab6.5环境下运行.可以给大家一些帮助。-Support Vector Machine classification procedures, Matlab6.5 environment. Can give you some help.
svm_v0.55
- 支持向量机分类,可用于人工智能,模式识别,数据挖掘,时间序列预测-Data aggregation processing
SVDA
- 基于支持向量机分类算法,经试验效果不错,取得了很好的分类效果-Classification algorithm based on support vector machine, after test results, well, and achieved very good classification results
SVMcg
- 用matlab实现支持向量机分类算法,通过对数据进行测试训练来进行分类-Using matlab implementation support to the classification algorithms to data, through testing and training to categorize
KPCA_SVM_Train-jkk
- 主成分、支持向量机分类,matlab编写的-Principal component, support vector machine classification, matlab prepared
支持向量机的相关简介
- 支持向量机主要解决了分类问题和回归问题两大类
风景与建筑图片的分类——支持向量机的方法
- 风景与建筑图片的分类——支持向量机的方法(Classification of landscape and architectural pictures -- Method of support vector machine)
GA_SVM
- 利用GA遗传算法优化参数 并利用支持向量机分类或者回归计算(Use GA genetic algorithm to optimize parameters and use support vector machine for classification or regression calculation)