搜索资源列表
lda
- 经典的LDA特征选择算法,用matlab实现,包括数据集
adxcvbv
- 基于最大熵的汉语人名识别方法研究 针对人名的特点,建立了特征模板,并在此基础上提取了特征集,利用特征选择算法提取了有效特征,并建立了一个基于最大熵的人名识别模型。 -Chinese name based on the maximum entropy method for identifying the characteristics of names, the establishment of a feature template, and on this basis set of fe
kmeans-image-segmentation
- K-meansK均值聚类在无监督的情况下选择图像特征的算法-K-meansK means clustering in the case of unsupervised image feature selection algorithm
10
- 2D图像配准,基于特征点算法。跟图配准图选择的3个特征点进行图像配准。-2D image registration algorithm based on feature points.
feature.tar
- 多级CGH数据分类和特征选择算法,可以直接运行的一些资料,希望对大家有帮助!-Classification and feature selection algorithms for multi-class CGH data
test
- 引入能直接处理连续型数据的邻域粗糙集约简模型,给出一种基于邻域粗糙集模型和粒子群优化的特征选择算法。仿真实验结果表明该算法可以选择较少的特征,改善分类的能力。-employs the neighborhood rough set reduction model which can process the numerical features directly without discretization. Then the particle fitness function in particl
QuickSortOrderReduct
- 引入能直接处理连续型数据的邻域粗糙集约简模型,给出一种基于邻域粗糙集模型和粒子群优化的特征选择算法-Introduce neighborhood rough set reduction model can deal directly with continuous data, given the feature selection algorithm based on neighborhood rough set model and particle swarm optimization
Two-feature-selection-algorithm
- 对“data4.m”数据,采用两种特征选择算法,选择2个特征。并且进行效果比较-"Data4.m" data, using the two feature selection algorithm, select two characteristics. And the effects comparison
DFSlection
- DF特征选择算法,Java的程序,不是原创的哦!-DF feature selection algorithm, Java, non-original!
feature-selection-svm
- 特征选择算法,效果很好。可以解决维数高、训练样本数少的问题。-include both C version (mex-function) and Matlab version: SBSVM_c.cc SBSVM_m.m A testing case is also provided in file Speed_Comp.m
信息熵算法
- 基于Matlab平台开发的用于生理信号特征选择的程序算法,信息熵算法,主要用于特征选择,属于模式识别的一类。-The program used for physiological signal feature selection algorithm based on Matlab platform development, information entropy algorithm is mainly used for feature selection, belongs to a class
ModelBasedFeatureConstruction-1.01
- 基于模型的特征选择算法, 基于模型的特征选择算法, -Model Based Feature Construction
SVM
- 运用支持向量机作为分类器,适用于特征选择算法-Using support vector machine as classifier, feature selection algorithm
Relief_SBS
- 基于Relief_SBS特征选择算法的入侵检测方法研究_杨云峰-Relief_SBS feature selection algorithm based Intrusion Detection Method _ Yun-Feng Yang
Relief
- 利用距离求解的特征选择算法,针对两类问题的Relief算法-feature selection
新建 WinRAR 压缩文件
- 一种新的特征选择和基于分解的多目标进化算法(a new feature selection and weighting method aided with the decomposition based evolutionary multi-objective algorithm called MOEA/D)
matlab 蚁群算法ACO_feature_selection
- 蚁群算法用与特征选择,针对传统蚁群聚类算法收敛速度过慢的问题,提出一种对蚁群算法进行改进的聚类算法。而数据的高维使数据具有稀疏、不可聚集等特性,使聚类算法实验效果精度低和耗时大,将邻域特征选择与聚类算法结合,提出了一种蚁群聚类优化的邻域特征选择算法(Ant colony algorithm and feature selection)
连续投影算法
- 连 续 投 影 算 法(SPA)是 一 种 使 矢 量 空 间 共 线 性最小化的前向变量选择算法, 它的优势在于提取全波段的几个特征波长, 能够消除原始光谱矩阵中冗余的信息,可用于光谱特征波长的筛选(Continuous projection to calculate method (SPA) is a kind of minimizing vector spatial collinear prior to variable selection algorithm, and it has th
FCBF
- FCBF算法是基于显著的思想,采用后向顺序搜索策略快速有效地寻找最优特征子集的特征选择方法,它采用对称不确定性作为相关程度度量标准,每次选择一个显著特征并删除它的所有冗余特征。(The FCBF algorithm is based on the significant idea, using the backward sequential search strategy to find the feature selection method quickly and effectively.
连续投影算法
- 连 续 投 影 算 法(SPA)是 一 种 使 矢 量 空 间 共 线 性最小化的前向变量选择算法, 它的优势在于提取全波段的几个特征波长, 能够消除原始光谱矩阵中冗余的信息,可用于光谱特征波长的筛选。(One of the advantages of spa is that it can be used to eliminate the redundancy of the original spectral features.)