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twin-support-vector-machine
- 孪生支持向量机(Twin support vector machine,TWSVM、TSVM)是SVM的一种变形算法。该TWSVM用于二分类,适合初学者有。-Twin support vector machine(TWSVM、TSVM)is a modified algorithm of SVM. This code is for beginner.
PSO
- 使用粒子群算法PSO,优化支持向量机的参数,对数据进行分类。-The use of particle swarm algorithm PSO, optimize the parameters of SVM, to classify the data.
project2_code
- 这是matlab编写的Logistic Discrimination 和 KNN分类器代码。这两个算法的实现参考了《Introduction to Machine Learning》。 除此在代码中还包含了调用matlab自带的libsvm的例程。rumLogisticDiscrimination, runKnn, runSvm分别对这3个算法在数据集liver_train_data上的分类准确度进行测试。测试结果在code report.doc 中有简要描述。-This code implem
1
- 数据分类,AdaBoost算法提升SVM,MATLAB算法-it is useful。
eMailSystem
- 采用有监督的朴素贝叶斯、SVM和KNN算法对进行训练,实现对邮件的分类-Using supervised naive bayes, SVM and KNN algorithm for training, implementation of the classification of the mail
SVM_Train
- 支持向量机分类训练算法SVM,它在解决小样本、非线性及高维模式识别中表现出许多特有的优势-SVM training algorithm
support_vetor_machine
- 实现支持向量机的具体算法,包含一些支持向量机(svm)的程序例子,有分类也有回归的,分类有二维分类、还有多维分类的-Program example to achieve the specific algorithm support vector machines, including some of the support vector machine (svm), there is also the return of classification, classification of two
SVMtest
- 经测试数据验证 可以实现支持向量机的分类,该算法使用C++编写-Verified by the test data of support vector machine (SVM) classification, the algorithm using c++
fruitvegtablerecognition_svm
- 基于K-means算法和SVM算法对不同种类的水果蔬菜图像进行分类识别,算法识别率较高。- Classifying a variety of fruits and vegetables images by using K-means algorithm and SVM.
Classification-and-regression
- 分类与回归。Matlab的工具箱是围绕一个快速LS-SVM训练和模拟算法。该相应的功能调用可以用于分类以及为函数估计。该功能plotlssvm显示模型的模拟结果,在训练的区域点。-The Matlab toolbox is built around a fast LS-SVM training and simulation algorithm. The corresponding function calls can be used for classification as well as
SVM2_GA
- 基于遗传算法的支持向量机算法,程序内可实现遗传算法参数寻优,并对输入数据分类输出-SVM based on genetic algorithms, genetic algorithms can be realized within the program parameter optimization, output and input data classification
SVM_liner_kernel
- 这是SVM算法的一个简单应用,用SVM进行线性二分类。此算法可以帮助大家从基础上认识SVM,从而进行编程。-This is a simple application of SVM algorithm, using a linear SVM binary classification. This algorithm can help you recognize the basis of SVM, which can be programmed.
chapter12
- 用SVM算法实现的白酒分类模式识别的源代码,可以嵌入自己开发的应用程序,使用matlab的SVM工具箱实现的-the complementation of pattern classification of SVM algorithm using matlab
MainPlot
- 基于支持向量机的算法分类主程序,该算法是基于libsvm工具箱实现的能很好的实现分类的性能-Matlab sVM learning algorithm
Fire-detection-multiple-features
- 文章对比分析了火焰不同的形状结构特征,及其特征组合对火焰检测有效性的影响,提出了一种融合圆形度、矩形度和重心高度系数的火焰检测算法,然后将融合后的火焰特征输入支持向量机(SVM)中进行分类- Based on fusion of these flame features,the support vector machine (SVM) is used for classi- fication. Experimental results on the fire videos at Bilken
IRIS_SVM
- SVM算法对IRIS数据进行分类,采用MATLAB代码编写,带iris原始数据。-matlab implementation,iris classiy,svm method
nn_svm
- 采用NN-SVM算法进行分类识别,有数据包和程序文件。-usingNN-SVM algorithm classification
lssvmMATLAB
- 最小二乘支持向量机,采用matlab编写,可以直接使用,SVM是经典的分类和预测算法。-Squares support vector machine, using matlab prepared, can be used directly, SVM is the classic classification and prediction algorithms.
OSU_SVM3.00
- SVM工具箱 用于SVM算法做分类 线性建模,非线性软测量建模-SVM Toolbox
chapter15
- 基于SVM的数据分类预测—一种最基本遗传算法和粒子群算法对的支持向量机的参数的优化,再此基础上可以对算法进行改进-Data classification based on SVM prediction- one of the most basic genetic algorithm and particle swarm optimization (pso) algorithm, the optimization of the parameters of the support vector ma