搜索资源列表
lssvmMATLAB
- 本程序使用支持向量机法和粒子群算法，实现对数据的分类-This program uses support vector machine method and particle swarm optimization, to achieve the classification of data
Main_SVM_One_Class
- 一次分类支持向量机程序，可用于故障诊断中，对故障进行分类识别-A support vector machine classification procedures can be used for fault diagnosis, classification and identification of faults
ML_homeWork
- 一分类支持向量机（one_class_svm）libsvm的使用和安装-One class support vector machine (one_class_svm) libSVM use and installation
SVM-based-image-classification
- 基于SVM的图像分类，由于支持向量机的分类能力极大地依赖于核参数的选取，因此，本文着重研究了核参数选择方法，并利用不同的颜色、纹理特征对图像进行分类。 -SVM-based image classification, the classification capability of SVM kernel parameters greatly depend on the selection, therefore, this paper focuses on the kernel paramet
最小二乘法支持向量机
- 有关lssvm相关教程，其解释和程序，并带有使用指南。b本人已调试过次程序并且用在分类效果很好。
svm 三分类
- 一个好用的3分类程序，matlab写的支持向量机
SVM
- 支持向量机(SVM)分类支持向量机的故障诊断,主要可以处理多维数据,该算法能否实现故障和故障类型的判断-For support vector machine (SVM) classification of SVM fault diagnosis, the main can handle multidimensional data, whether the algorithm can realize fault and failure types of judgment
svm
- SVM本身是针对经典的二分类问题提出的，支持向量回归机（Support Vector Regression，SVR）是支持向量在函数回归领域的应用(SVM itself is proposed for the classical two classification problem. Support Vector Regression (SVR) is the application of support vector in the field of function regression)
SVM
- 使用Hadoop平台的Spark组件，实现机器学习分类算法SVM（支持向量机），使用的编程语言为Scala。(Using the Hadoop platform Spark components, the machine learning classification algorithm SVM (support vector machines), using the programming language for Scala.)
SVM程序
- 主要是实现分类的功能，多分类，很容易理解，更换数据就可以实现不同东西的分类(The main function is to achieve classification)
mi.0.912
- 该算法用mrmr对支持向量机进行分类 简洁明了 用以理解(The algorithm uses mrmr to classify the support vector machine for simplicity)
分类器比较
- 支持向量机，线性判别分析，回归树，主成分判别分析，分类回归树，K临近算法(SVMLinear discriminant analysis, regression tree, principal component discriminant analysis, classification regression tree, K proximity algorithm)
SVM算法matlab程序
- SVM(Support Vector Machine) 支持向量机算法，遥感影像分类，matlab(SVM (Support Vector Machine) support vector machine algorithm, remote sensing image classification, matlab)
图像分类
- 这里使用svm支持向量机对多类图像进行分类
svm
- 支持向量机由Vapnik首先提出，像多层感知器网络和径向基函数网络一样，支持向量机可用于模式分类和非线性回归，该程序主要实现svm的分类和回归功能。(SVM was first proposed by Vapnik. Like multilayer sensor network and radial basis function network, SVM can be used for pattern classification and non-linear regression. The p
CSVM
- 二分类支持向量机交叉验证调参并统计分类准确率(Cross validation of two classification support vector machines and statistical classification accuracy)
MySVMxx
- 训练文件和预测文件各5个，70vs30.1份使用说明，人机交互工程，按说明操作可分类。成功率有一定概率。(The training document and the forecast document are 5 each, 70vs30.1 instructions for how to use. Man-machine interaction engineering, according to the instructions can be classified. The rate of
SVM
- 利用SVM实现分类器，源码，带运行结果图。(Implementation of classifier by support vector machine)
libsvm-3.21
- SVM工具箱，里面有安装说明和使用方法，非常实用，可用作回归分类。(SVM toolbox, there are installation instructions and use method, very practical, can be used as a regression classification)
svm
- 分类,支持向量机的一个小应用。。。。。。。。(The programe is on the research of classment by the method of svm)