搜索资源列表
A-Survey-of-Feature-Selection
- 对特征选择方法的发展历史和现状进行了跨学科的广泛调研，在此基础上总结提出了通用的方法定义和算法流程框架-A unifring approach to the definition of the feature selection problem and corresponding algorithm design framework are proposed based on a complete survey of a wide range of interdisciplinary res
SFG
- 基于信息熵计算属性的信息增益，最终得到约简后的属性集，实现特征选择-Feature Selection based on information entropy gain, then the reduct of attributes are obtained.
RBF_OLS
- 利用RBF神经网络通过剪枝算法实现特征选择，训练时采用正交最小二乘方法-RBF feature selection algorithm with gradient decending method
Feature-selection
- 模式识别领域中特征选择原理，代码及操作过程-In the field of pattern recognition feature selection principle, the code and the operation of the process
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
pso_featsel2
- 这是一个粒子群算法（PSO）用于特征选择的matlab函数，用户可以自由选择目标函数优化方向、种群大小、迭代次数等等。-this is an feature selection program with particle swarm optimization of matlab ,you can chose the Function optimization direction the scale of the swarm and the number of the iteration
qpso_featsel2
- 这是一个基于量子行为的粒子群算法（QPSO）用于特征选择的matlab程序，用户可以选择目标函数优化方向、种群大小，也可以在内部修改QPSO的参数beta-this is a feature selection program based on quantum_behaved particle swarm optimization of matlab ,the user can chose the object function optimization direction,the scale
digui
- 在SVM中，采用递归特征消除法进行特征选择，删去与类别无关或关系不大的特征-In SVM, using recursive feature elimination method for feature selection, delete unrelated features
fractal-dimension
- 使用分形维数快速进行特征选择的经典论文，其核心的方法是盒子计数计算分形维数-The fractal dimension of the fast feature selection of classic papers, the core of the method is the box counting calculation of the fractal dimension
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!
Pattern-Recognition_MATLAB_1
- 线性分类器设计，1_k近邻法，剪辑法，ANN-BP神经网络法，聚类分析法，特征选择，特征提取等模式识别常用算法，内有matlab可运行实现，还有word文档的说明。对于学习，是做好的资料。-Commonly used algorithm for linear classifier design the 1_k nearest neighbor, clip, ANN-BP neural network method, cluster analysis, feature selection, fea
spider
- 机器学习matlab源代码，包括多分类SVM，模式识别，特征选择，回归等算法。-The spider is intended to be a complete object orientated environment for machine learning in Matlab. Aside from easy use of base learning algorithms, algorithms can be plugged together and can be compared with
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
ga1
- 遗传算法用于模式分类的特征选择。以minstall数据库为例，介绍了详细应用例程。-Genetic algorithm for pattern classification feature selection. Minstall database, for example, describes in detail the application routines.
pcaica
- pca与ica相结合的特征选择,进行主成分分析以后，再对所得特征进行独立成分分析-the combination of pca and ica for feature selection，after Principal component analysis, the resulting characteristics is has a independent component analysis
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
BAB
- 使用分支定界法进行特征选择，是基于单调准则函数进行优化搜索的一种方法。-Feature selection using the branch and bound method, a method based on a monotonic criterion function to optimize the search.
DET_selection
- 是一种特征选择方法，距离评价技术，可以降低特征值的维数。-Is a kind of feature selection methods, distance evaluation technology, can reduce the characteristic value of the dimension.
feature_selection
- MRMR和relieff特征选择方法，很经典的，简单易用！-The the MRMR and the relieff feature selection method, very classic, simple and easy to use!
dataset_603551
- 文件为为本分类器，可以实现切词、特征选择、权重计算等功能-File as classifier, can be achieved segmentation, feature selection, the weight calculation function