搜索资源列表
svm
- 数据挖掘 数据分类算法 支持向量机分类
支持向量机C#程序
- 改程序在C#中采用lilbsvm对样本进行了训练,有界面,对利用svm进行分类的很有帮助。
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
SVM_lzb1p0
- svm(支持向量机)能进行分类。有不同的核函数,如线性,多项式等-svm (support vector machine) can be classified. There are different kernel functions, such as linear, polynomial, etc.
SVM
- 支持向量机是一种有效率数据挖掘分类工具,它做为预处理工具使用-Support vector machine is an efficient classification of data mining tools, which tools to use as a pretreatment
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
- 支持向量机(SVM)用于分类的算法实现-svm
looms
- 留一模型选择法leave-one-out model selection,适合支持向量机分类和回归时进行参数选择。-looms uses a slightly modified BSVM to perform model selection on binary classification problems. Currently the RBF kernel is supported.
svdd_tool
- 支持向量域是近几年采用的一种较新的分类器,是在其支持向量机的基础上发展而来。-the tool box of SVDD
CsharpSVM
- 支持向量机的csharp代码 支持向量机广泛用于分类、预计等领域-Support Vector Machines Support Vector Machines csharp code is widely used in classification, is expected in areas such as
stprtool08oct04
- 贝叶斯参数的推到以及用支持向量机进行分类的有效的程序.非常实用-An effective approach for multi-concurrent fault diagnosis based on integration of fractal exponent wavelet analysis and neural networks is presented.The wavelet transform can accurately localizes the characteristics
SVMMatla1.0
- 该工具箱主要介绍支持向量机的使用过程,包括分类与回归,里面的内容很全面,-The toolbox introduce the process of SVM,including classification and aggression,which is very well.
svm_3D
- 支持向量机的的3d坐标分类 由浏览器执行-Support vector machine classification of 3d coordinates
SVM
- 程序可以用于支持向量机分类算法,只有源代码,使用时需要改进-Program can be used to support vector machine (SVM) classification algorithm, only the source code, when using, need to improve
SVMppt
- 曾立(支持向量机分类机原理),PPT讲义-Zeng Li (support vector machine classification principle), PPT handouts
支持向量机故障诊断及控制技术
- 有支持向量机分类和回归的代码,以及最小二乘支持向量机的代码。(support vector machine)
支持向量机3
- 整理支持向量机的基本原理,便于分类、预测问题的解决。(Sort out the basic principle of support vector machines, easy to classify and predict the solution of problems.)
超球面支持向量机
- 超球支持向量机有一次分类,二次分类,支持向量机回归(Hypersphere support vector machine)
Project7
- 可以再在python上运行的一个支持向量机二分类的例子(An example of a support vector machine two classification that can be run on Python)
matlab代码
- 该代码是基于粒子群算法优化的支持向量机,适用于分类问题(The code is based on particle swarm optimization support vector machine, suitable for classification problem.)