搜索资源列表
Feature&Selectio
- mapx的Feature和Selection示例程序-MapX and the Feature Selection sample program
LDA
- 线性判别分析（LDA）用于特征选择，可以对数据集或者图像提取有用特征，用于分类或者聚类等机器学习应用中-Linear Discriminant Analysis (LDA) for feature selection, application in dataset or image feature extraction, for classification or clustering applications in machine learning
fsbox
- Stepwise forward and backward selection of variables using linear models
NRS_FW_FS
- Neighborhood rough set based heterogeneous feature subset selection
25
- 关于rbf神经网络实现图像分类的优化算法英文文献 源于著名期刊I-Hyperspectral Feature Selection and Classification
rsar_1.3.3.tar
- sar is a Rough Set-based Attribute Reduction (aka Feature Selection) implementation. This is an implementation of ideas described, among other places, in the following paper: Qiang Shen and Alexios Chouchoulas, A Modular Approach to Generating Fu
Matlabcode
- 粗糙集代码 data reduction with fuzzy rough sets or fuzzy mutual information fuzzy preference rough set based feature evaluation and selection -Rough code data reduction with fuzzy rough sets or fuzzy mutual information fuzzy preference rough set bas
Text_Feature_Extraction
- 文本特征提取方法研究。文本的表示及其特征项的选取是文本挖掘、信息检索的一个基本问题，它把从文本中抽取出的特征词进行量化来表示文本信息。-Text Feature Extraction. And characteristics of the text of that item selection is text mining, information retrieval is a basic problem, which to extract from the text to quantify t
RSAttributeReduction
- 基于粗糙集的特征子集筛选的一种算法-Based on rough set feature subset selection of an algorithm! ! !
kernelizedfuzzy
- kernelized fuzzy rough set based feature evaluation selection
feature-extraction
- 在模式识别中，样本的特征选取是很重要的，大大的影响识别率，样本的特征提取-In pattern recognition, feature selection of samples is very important, and greatly affect the recognition rate, sample extraction
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
Kuschner-BayesianNetwork-feature
- Kuschner论文，贝叶斯网络方法在质谱数据特征选择。其中关于机器学习中贝叶斯分类器部分有完整原理分析，可以用于认知无线电网络的频谱感知等新领域。含有matlab程序大于100页，子函数很多。-Kuschner paper, Bayesian network methods of feature selection in mass spectrometry data. One of the Bayes classifier machine learning part of a complete
feature-selection
- 它指的是使用计算机提取图像信息，决定每个图像的点是否属于一个图像特征。特征提取的结果是把图像上的点分为不同的子集，这些子集往往属于孤立的点、连续的曲线或者连续的区域。 -It refers to the use of computer to extract image information, decide whether each image point belongs to an image feature. The results of feature extraction is t
gene-selection
- gene feature selection matlab code
somol-filter--versus-wrapper-based-feature-select
- somol-filter- versus wrapper-based feature selection for credit scoring
feature-selection
- eature selection, also known as variable selection, attribute selection or variable subset selection, is the process of selecting a subset of relevant features for use in model construction
hierarchical-feature-selection
- 基于Matlab语言的层次特征算法，用于实现图像特诊的提取-Hierarchical feature algorithms based on Matlab language, for the extraction of images to achieve the special diagnosis!!
feature-selection-mRMR-master
- 特征选择方法，用于降低数据维数，常见的一种特征筛选手段，可以从大量变量中筛选特征变量实现保留变量与目标之间的最大相关性(feature selection method for mRMR)
Feature Selection using GA
- 用二进制遗传算法做特征选择，此算法效率高，选择的特征数目少。(The binary genetic algorithm is used for feature selection, which has high efficiency and few features.)