搜索资源列表
New_Kdd8074
- 基于JAVA实现的特征选择算法,并且使用Jfreechart实现图形显示-JAVA-based feature selection algorithm to achieve, and the realization of the use of graphical display Jfreechart
hdj
- 针对基于内容的网络信息过滤中存在的特征维数过高影响分类过滤效果问题,运用遗传算法进行特征 选择,通过遗传操作搜索最优解。并且引入个体寿命概念用于实施种群更新,同时根据种群进化情况动态调整遗传操作算子,从而解决遗传算法训练过程中种群以及操作算子的单一性带来局部最优问题
Patternrecognition
- 模式识别基本方法matlab源代码,包括最小二乘法、SVM、神经网络、1_k近邻法、剪辑法、特征选择和特征变换。-Basic method of pattern recognition matlab source code, including the least squares method, SVM, neural network, 1_k neighbor method, editing method, feature selection and feature transformatio
eigenvalue_computation.tar
- 快速PCA计算方法,有效实现降维等操作,和特征选择-Fast PCA method of calculation of effective dimension reduction and other operations, and feature selection
ica_appD_demo
- 高校的ICA计算代码,广泛用于特征选择,降维,目标识别等-Colleges and universities ICA calculation code, widely used in feature selection, dimensionality reduction, target identification, etc.
featureselection
- 模式分类中的特征选择,希望大家可以参考一下.-Pattern Classification in feature selection, hope that we can reference.
somepapers
- 文献资料,关于遗传算法以及特征选择方面飞一些资料,下载-PAPER
textCategory1
- 这个一篇关于文本分类中特征选择方法及应用的文章,很好的。-text category
Vsvm3.0
- Vsvm3.0是一款window系统下运行的可视化svm算法工具,除了普通的分类和回归算法,还带有多目标回归预测;内含多种参数方式和序列极小化特征选择算法;并且支持多核并行运算-Vsvm3.0 is a window system running svm algorithm visualization tool, in addition to general classification and regression algorithms, but also with a multi-objec
mboxplot
- 自己在进行分类时写的用于多变量分布浏览,特征选择的函数,可快速查看各特征分布情况,便于后续特征选择-use to display character value
psofeatureselection
- 用粒子群优化算法进行特征选择和SVM参数优化-Using Particle Swarm Optimization algorithm of feature selection and SVM parameter optimization
safeatureselectionpaper
- 模拟退火算法进行特征选择和参数优化的经典论文-Simulated annealing algorithm for feature selection and parameter optimization of the classic papers
LSFS
- 有监督的特征选择和优化程序MATLAB代码,基于最小二乘算法。内有测试数据,和详细程序说明-Least-Squares Feature Selection (LSFS) is a feature selection method for supervised regression and classification. LSFS orders input features according to their dependence on output values. Dependency bet
mrmr
- 特征选择的最大相关最小冗余算法,采用信息理论作为度量标准。-Feature selection algorithm for minimum redundancy and maximum correlation, the use of information theory as a metric.
xinxishang
- :将信息论中熵的概念应用到特征选择中,定义了两种信息测度评价特征——误差熵和混叠熵,然后阐述了两种定义的不 用物理意义,分析了计算熵中最关键的区间划分问题,并提出一种较好的区间划分方法。-: The concept of entropy in information theory applied to feature selection, the definition of information measure evaluation of two features- error entro
face
- 完整的表情识别系统一般包括人脸表情图像捕获、预处理、人脸检测与定位、 人脸分割与归一化、人脸表情特征提取、人脸表情识别。本文着重研究了人脸表 情特征提取、特征选择及表情分类等关键问题,并提出了一些改进的方法,同时 进行了仿真实验-Complete expression recognition systems typically include facial expression image capture, preprocessing, face detection and loca
8080524
- 基于特征选择和svms的图像分类 MI算法-Feature selection and image classification svms
binaries-2.0.5-win32
- 上传文件包括编译运行平台和许多实例。Answer set programming(简称ASP)是国外近几年兴起的一种重要的逻辑编程语言,对于求解NP问题有良好的时间上限优势。例如图的着色问题,哈密顿回路问题,sudoku问题,生物医学的特征选择问题等等。加上我上传的logic学习资料配套使用。-uploaded file include the compile and develop platform and many examples. Answer set programming is a
pca
- 该代码为PCA主成分分析,可用于特征选择,选取贡献最大的前三个主成分-The code for the PCA principal component analysis, can be used for feature selection, select the largest contribution to the first three principal components
ASurveyofFeatureSelection
- 本文总结并提出了较为完备的特征提取定义。根据特征子集形成过程将特征选择分为穷举式、启发式和随机式三类 根据特征评价标准将特征选择分为距离浏度、信息测度、相关性浏度、一致性测度和分类器错误率五类。通过分析特征选择的影响因素,提出了选择特征、选择方法应该遵循的原则。 -This paper analyzes and summarizes the previous definition of feature selection, and then introduces a selfcontaine