搜索资源列表
OnlineSVR-CPP-Code
- 支持向量机在线学习训练算法C++源码,可以用来做数据分类、模式识别、回归估计、概率密度函数估计等方面。-Support vector machine online learning training algorithm C++ source code, can be used for data classification, pattern recognition, regression estimation, probability density function estimation an
zhichixiangliangji
- 用matlab来实现支持向量机的分类器算法的全部程序设计,以及详细解释-To realize the full program design classifier support vector machine algorithm with MATLAB, and explain in detail
SVM
- wine数据的基于matlab支持向量机分类-wine data classification based on support vector machine matlab
matlab_wine
- matlab下,wine数据,基于支持向量机的数据分类-under matlab, wine data, data based on support vector machine classification
SVMs2
- 一种新的分类方法——属性均值聚类属性支持向量机(AMC-ASVM) -A new classification method- Attribute Means Clustering attribute support vector machine (AMC-ASVM)
libsvm_src
- libsvm,支持向量机,分类,C语言,描述清晰-libsvm, support vector machines, classification, C language, clear descr iption
SVM2_3_3
- 根据所提取的特征,使用支持向量机进行模式分类-Based on the extracted features, the use of support vector machines for pattern classification
svm-for-classification-or-extraction
- 在数据挖掘中利用支持向量机对特征进行提取和分类,词文档主要针对支持向量机方面的内容-svm for feature classification or extraction
sllePsvm
- 目标分类(流形学习slle+支持向量机svm)-Target classification (manifold learning slle+ support vector machine svm)
SVMfenlei
- 支持向量机程序,可用于判断、逻辑、预测、分类-Support vector machine procedures can be used to determine, logic, prediction, classification, etc.
svmtest
- 支持向量机,像神经网络一样能够将数据进行分类-Support vector machines, data classification.
SVM
- 运用支持向量机作为分类器,适用于特征选择算法-Using support vector machine as classifier, feature selection algorithm
kernel-Function
- 利用核函数进行遥感图像的分类,本程序再支持向量机的基础上引入了核函数进行图像分类,是分类效果更加明显-Use of nuclear function remote sensing image classification, the program no longer support vector machine based on the introduction of the kernel function for image classification, classification eff
SVM-KM
- 支持向量机的工具箱,包括训练,选参,分类,回归-Support Vector Machine Toolbox
svm
- 用MATLAB编写的svm源程序,可以实现支持向量机,用于特征分类或提取-Using MATLAB svm prepared by the source, can achieve a support vector machine for classification or feature extraction-MATLAB
svm
- 支持向量机:用于把数据进行分类,多类分类器。分类正确率高-support vector machine for classification
SVM_GUI_3.1[mcode]{by-faruto}
- 支持向量机SVM(Support Vector Machine)作为一种可训练的机器学习方法,依靠小样本学习后的模型参数进行导航星提取,可以得到分布均匀且恒星数量大为减少的导航星表。 基本情况 Vapnik等人在多年研究统计学习理论基础上对线性分类器提出了另一种设计最佳准则。其原理也从线性可分说起,然后扩展到线性不可分的情况。甚至扩展到使用非线性函数中去,这种分类器被称为支持向量机(Support Vector Machine,简称SVM)。支持向量机的提出有很深的理论背景。 支持向量机
A-New-Kernel-Function
- 为支持向量机设计了一种新的直方图核函数运用在图像分类上取得不错的效果。-The paper designed a new histogram kernel function for support vector machines which achieved good results in image classification .
svm-Diagnosis-of-breast-cancer
- 支持向量机的分类——基于乳腺组织电阻抗特性的乳腺癌诊断-Support vector machine classification- based on electrical impedance characteristics of breast tissue diagnosis of breast cancer
classifier
- 用matlab实现Part1. 实现一个k近邻分类器,Part 2.实现一个最小二乘分类器,Part 3.实现一个支持向量机分类器,Part 4.在不同数据集上使用交叉验证选择各个算法的参数-Part1. Achieve a k-nearest neighbor classifier, Part 2. Achieve a least-squares classifier, Part 3. Implement a support vector machine classifier, Part 4.