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数据挖掘中SVM算法实现
- 数据挖掘中SVM算法实现（用MATLAB实现）-SVM data mining algorithm (MATLAB)
GASVM.用遗传算法进行特征选取和svm参数优化的程序
- 用遗传算法进行特征选取和svm参数优化的程序。遗传算法工具箱goat已在压缩包 需要安装libsvm就可以直接运行。数据集采用UCI中的german数据集，并完成归一化操作,Genetic algorithm with feature selection and parameter optimization svm procedures. Genetic Algorithm Toolbox in goat need to install libsvm package can be run dir
svm.rar
- svm算法源代码，对数据挖掘等都很有用的,SVM algorithm source code, for data mining is very useful
svm
- SVM神经网络的数据分类预测在葡萄酒种类识别中的应用-SVM classification neural network prediction of data types in the identification of wine
PCA-SVM
- 在PYTHON里面，采用LIBSVM，实现对TE数据的多类故障的分类。-In PYTHON inside, using LIBSVM, TE data to realize the classification of many types of failures.
SVM-iris
- 本人用matlab编写的支持向量机的程序，在数据集iris上进行实验，识别效果不错-I have written in with support vector machine matlab program, in experiments on the iris data set, identify good results
svm
- 支持向量机用于对样本数据或函数的回归预测，此文件源码是用C#编写的 可以在Matlab环境下实现-Support vector machine is used to sample data or the regression function, the file C# source code is written in the Matlab environment to achieve
SVM
- 有基于 matlav的svm软件工具，感觉挺好用的。里面有很多实例，稍加修改就可以使用。例如三分类问题： 1、输入三类数据xapp yapp 2、选择多类分类方法（一对多或一对一或m-svm） 3、设置参数 4、调用训练函数得到向量机参数 5、输入测试数据，得到预期结果。 -There is matlav based on the SVM-based software tools, I feel pretty useless. Inside there is a lot
svm
- 支持向量机一个很好的，较新的一个进行分析分析的软件-Recent advances in experimental methods have resulted in the generation of enormous volumes of data across the life sciences. Hence clustering and classification techniques that were once predominantly the domain of ecologis
SVM
- 用C语言自己编写基于特定训练数据和测试数据的SVM程序，并用AUC对其评估-I have written using C language based on the specific training data and test data of the SVM procedure, and their assessment of AUC
SVM
- 支持向量机的MATLAB实现，能自动完成数据的分类功能。-MATLAB support vector machines to achieve, can auto-complete the classification of functional data.
10Algorithms-08
- This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms
SVM
- SVM 神经网络 数据分类预测 葡萄酒种类识别-SVM neural network prediction wines identification data classification
svm
- 线性SVM算法设计分类器，对一组数据进行分类-Linear SVM classifier algorithm on a set of data classification
SVMhybridsystem
- A distributed PSOSVM hybrid system with feature selection and parameter optimization -Abstract This study proposed a novel PSO–SVM model that hybridized the particle swarm optimization (PSO) and support vector machines (SVM) to improve the clas
classification-for-SVM
- 对数据进行SVM处理，最后以进行定量及分类处理，对得到的预测和训练的数值进行RME等的计算-The data processing, and end with SVM quantitative and classification to get treatment, the numerical prediction and training for calculation of RME etc.
SVM
- 线性SVM分类，数据已给出，代码很详尽哈-Linear SVM classification, data has been given, the code is very detailed and Kazakhstan
SVM
- 支持向量机来分析数据，并通过建立向量机来预测数据的趋势-Support vector machine to analyze data and predict trends in the data
SVM-matlab
- 经典SVM算法matlab程序,用于各种利用MATLAB对数据进行SVM仿真的实验。-Classical SVM algorithm matlab program for a variety of SVM data using MATLAB simulation experiments.
SVM
- 使用支持向量机算法对二分类问题进行预测，实现大数据分析的目标。(Support vector machine algorithm is used to predict the two classification problem, and achieve the goal of large data analysis.)