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(SVM)[matlab]
- 支持向量机(SVM)实现的分类算法源码[matlab]
SVM
- 该工具箱包括了二种分类,二种回归,以及一种一类支持向量机算法 (1) Main_SVC_C.m --- C_SVC二类分类算法 (2) Main_SVC_Nu.m --- Nu_SVC二类分类算法 (3) Main_SVM_One_Class.m --- One-Class支持向量机 (4) Main_SVR_Epsilon.m --- Epsilon_SVR回归算法 (5) Main_SVR_Nu.m --- Nu_SVR回归算法-Support Vector Machin
CKPCA-HOG-SVM
- 为了准确地对监控场景中的运动目标进行语义上的分类，提出了一种基于聚类的核主成分分析梯度方向直方图和二又决策树支持向量机的运动目标分类算法。-In order to accurately monitor the movement of scene targets semantic classification, the clustering based on kernel principal component analysis of gradient direction histograms,
SVM
- 用matlab实现了SVM算法，并且对两类点进行了分类，给出了图形化的结果。-SVM algorithm is implemented using matlab, and two points on the classification, given the graphical result.
SVM
- 四种支持向量机SVM工具箱的分类与回归算法。MATLAB编写-Four types of support vector machine SVM toolbox classification and regression algorithm. MATLAB prepared
mill
- 包含了很多分类算法，有SVM，knn，决策树等，还有文档说明-Contains a lot of classification algorithms, there is SVM, knn, decision tree and so on, have documented
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
SVM
- 支持向量机(SVM)实现的分类算法源码[matlab]-Support Vector Machine (SVM) classification algorithm to achieve source [matlab]
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
OSU-SVM
- SVM工具箱 分类与回归算法 OSU SVM Classifier Matlab Toolbox-support vector machine procedures, the classification results very good
SVM-hssvm1.0.1
- HSSVM是一个用超球SVM（Hyper-Sphere Support Vector Machines）模型求解多分类问题的工具包，采用Java语言实现。开发该程序的主要目的，是利用超球SVM求解模型代替传统上借助于解二分类问题的经典SVM模型来求解多分类问题。本文将论述该程序的主要实现细节，包括相关算法及设计原理的描述。-HSSVM is an ultra ball SVM (Hyper-Sphere Support Vector Machines) to solve multi-classi
SVM
- 该工具箱包括了二种分类,二种回归,以及一种一类支持向量机算法 (1) Main_SVC_C.m --- C_SVC二类分类算法 (2) Main_SVC_Nu.m --- Nu_SVC二类分类算法 (3) Main_SVM_One_Class.m --- One-Class支持向量机 (4) Main_SVR_Epsilon.m --- Epsilon_SVR回归算法 (5) Main_SVR_Nu.m --- Nu_SVR回归算法-The kit includes two
four-svm-toolbox
- 四种SVM工具箱的分类与回归算法：包括LS_SVMlab,OSU_SVM3.00,stprtool_svm,SVM_SteveGu-Four kinds of SVM classification and regression algorithm toolbox include: LS_SVMlab, OSU_SVM3.00, stprtool_svm, SVM_SteveGunn
svm
- svm源码 支持向量机 文本分类算法-the svm source text classification algorithm Support Vector Machine
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
- 使用matlab自带的函数实现的svm分类算法。(The svm classification algorithm implemented using matlab's own function.)
SVM
- 关于SVM编程算法实现示例，实现二分类问题(a program demo about SVM)
SVM分类
- svm 分类算法 需要自己 添加训练序列 全套可以运行(SVM classification)
基于粒子群优化算法的特征选择SVM分类
- 针对“BreastCancer”数据集，作为对比，第一次对特征集直接进行SVM分类，第二次使用粒子群算法进行特征选择后再进行SVM分类。并且对比和分析了两次分类的结果。(For "BreastCancer" data set, as a comparison, the first time the feature set is directly classified by SVM, and the second time the feature set is selected
SVM
- 利用三次二分类SVM实现三分类SVM，可以用自己的数据，完美运行。(Using the three-category SVM to implement the three-class SVM, you can use your own data to run perfectly.)