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Neighborhood rough set based heterogeneous feature subset selection
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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
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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
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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! ! !
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kernelized fuzzy rough set based feature evaluation selection
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method粗糙集的地面目标识别特征量选取方法-Rough set the amount of artillery ground target recognition feature selection method
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fuzzy preference rough set based feature evaluation and selection
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kernelized fuzzy rough set based feature evaluation selection
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基于粗糙集的特征选择Matlab源程序。-Feature selection based on rough set.
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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
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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
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离散人工蜂群算法用于解决特征选取问题，可以学习文章中将群智能算法离散化的方法，以便于解决离散问题。-Discrete artificial bee colony algorithm for solving feature selection problem, you can learn article will swarm intelligence algorithm discretization method, in order to solve the discrete problem.
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粗糙集；特征选择；核属性；不可分辨关系；依赖度；-rough set ；feature selection；Nuclear properties；indiscernibility relation；dependence
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