| 最小相关性最大依赖度属性约简的改进算法 |
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| 引用本文： | 毛华,赵书峰.最小相关性最大依赖度属性约简的改进算法[J].河北大学学报(自然科学版),2019,39(3):225. |
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| 作者姓名： | 毛华 赵书峰 |
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| 作者单位： | 河北大学数学与信息科学学院,河北保定,071002;河北大学数学与信息科学学院,河北保定,071002 |
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| 基金项目： | 国家自然科学基金;河北省自然科学基金 |
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| 摘 要： | 对于决策表的属性约简,通过分析最小相关性最大依赖度属性约简算法,得到了一种更加完善的最小相关性最大依赖度属性约简算法,并通过实例验证其可行性.
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| 关 键 词： | 属性约简 依赖度 信息熵 互信息 |
| 收稿时间： | 2018-10-25 |
An improved algorithm with the principle of minimal correlation and maximal dependency |
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| MAO Hua,ZHAO Shufeng.An improved algorithm with the principle of minimal correlation and maximal dependency[J].Journal of Hebei University (Natural Science Edition),2019,39(3):225. |
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| Authors: | MAO Hua ZHAO Shufeng |
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| Institution: | College of Mathematics and Information Science, Hebei University, Baoding 071002, China |
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| Abstract: | For attribute reduction in decision table, after analyzing the algorithm which calculates the reduction with the principle of minimal correlation and maximal dependency,an improved algorithm with the principle of minimal correlation and maximal dependency is found out. An example is used to check the feasibility of this algorithm. |
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| Keywords: | attribute reduction dependency information entropy mutual information |
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