| 基于下边界的邻域粗糙集特征选择方法 |
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| 引用本文： | 李楠.基于下边界的邻域粗糙集特征选择方法[J].荆门职业技术学院学报,2010,25(5):8-11,23. |
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| 作者姓名： | 李楠 |
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| 作者单位： | 商洛学院计算机科学系; |
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| 摘 要： | 粗糙集理论能够有效地处理不完整、不确定和不精确的数据信息。文章在邻域粗糙集的基础上,引入了下边界作为属性冗余性的判断条件。在全部特征的前提下删除某一特征后,根据样本集合的正域变化情况来确定被删除特征的重要性,从而确定特征是否为冗余特征。文中所使用的数据集合来源于UC I数据集。通过实验可以看出：这种方法可以从大量的特征中有效地选择出重要特征。
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| 关 键 词： | 粗糙集 邻域 下边界 重要特征 |
The Feature Selection Approach Based on Lower Boundary Neighborhood Rough Sets |
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| LI Nan.The Feature Selection Approach Based on Lower Boundary Neighborhood Rough Sets[J].Journal of Jingmen Vocational Technical College,2010,25(5):8-11,23. |
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| Authors: | LI Nan |
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| Institution: | Department of Computer Science;Shangluo College;Shangluo;Shaanxi;726000;China |
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| Abstract: | Rough Set can process incomplete,uncertainty and inaccurate data information.This paper introduces the low boundary as the judgment condition of redundant attributes based on rough sets.After deleting one feature under all of features,according to the positive domain case of sample aggregate confirms the importance to be deleted characteristic,thus confirms the features is or is not redundant features.The data acquisition in this paper comes from UCI data acquisition.The experiment shows this method can sel... |
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| Keywords: | rough sets neighborhood lower boundary important feature |
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