搜索资源列表
svm
- svm is a classifier.SUPPORT VECTOR MACHINE is used for train and classify new datas based on training
SVM
- 在matlab的环境中，根据各种算法提取到的信息来输入SVM分类器中进行训练-classify different various sorts of information in svm
four-Toolbox-for-SVM
- SVM分类器,关键是对信号进行分类，是模式识别的必备宝典-SVM classifier, the key is to classify the signal is essential for pattern recognition Collection
epic_svm_matlab
- 一个SVM分类的例子.构造输入数据，进行SVM，画图显示分类结果-an example for SVM。classify created input and show the result.
multisvm
- 使用SVM进行多类的一对一分类，有利于初学者对SVM进行快速入门-The function of the code is to classify multiple classes using one-to-one SVM, which must be very useful for beginners.
svm_class
- 文件中的程序是用于支撑向量机对信号的分类-the program is used for svm classify
Main_SVC
- 对一组数据进行非线性SVM分类，采用了多种训练方法-use an Non-linear SVM classifier to classify a group of data, it takes several trainning methoed
SVM
- 该程序为MATLAB源码，使用SVM算法（简易实现）进行分类。-Classify using (a very simple implementation of) the support vector machine algorithm
fenlei
- 采用支持SVM对样本数据进行分类，采用Matlb 实现-To support SVM to classify the sample data, use Matlb achieve
SVM
- 利用SVM对数据进行分类，并且有详细可视化功能-Use SVM to classify the data, and detailed visualization capabilities
svm
- 这是一个svm分类器的设计，有很好的效果，可以输入几个分类特征进行分类-This is a svm classifier design, with very good results, you can enter several categories to classify features
KNN-and-SVM
- 模式识别中knn和svm的使用，用到matlab的fitcknn和fitcsvm-pattern recognition the use of knn and svm to classify data, using matlab function fitcknn and fitcsvm
SVM
- 支持向量机SVM程序，该方法可以有效地对数据进行分类-Support vector machine SVM program, the method can classify the data
SVM
- classify using one-against-one approach, SVM with linear, 3rd degree poly,RBF 7 kernel
SVM
- 运用SVM训练分类,并给出标准化以及网络搜索方法确定SVM各参数(use SVM to train and classify samples)
37724113code
- 模式识别上面的第二次作业，主要是用SVM分类器来进行男女生的分类。(Pattern recognition above second operation, is mainly used SVM classifier to classify the male and female students.)
SVM
- 使用SVM对数据进行分类，可参考对SVM原理的讲解对代码及其算法进行进一步理解。(Using the SVM to classify the data, we can refer to the explanation of the SVM principle to further understand the code and its algorithms)
SVM
- 采用SVM高斯核，对样本进行分类，输入训练集和测试集，输出SVM分类准确率，采用10折交叉验证(This matlab code uses the SVM(support Vector Machine)to classify, and as the same time it uses the cross validation mathod.)
svc
- 利用支持向量机方法对不同类别的对象进行分类(use the SVM method to classify)
PCA+SVM
- 采用经典的ORL人脸数据集，利用PCA进行进行降维，然后用SVM进行数据集的分类和训练。上传文件内包含libSVM3.2安装包(The classical ORL face dataset is used for dimension reduction by PCA, and then SVM is used to classify and train the dataset.)