| 基于单调邻域粗糙集的特征基因提取 |
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| 引用本文： | 宋艳佩,李一喆,李超,吴万涛. 基于单调邻域粗糙集的特征基因提取[J]. 数字社区&智能家居, 2011, 0(19) |
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| 作者姓名： | 宋艳佩 李一喆 李超 吴万涛 |
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| 作者单位： | 河南师范大学计算机与信息技术学院; |
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| 摘 要： | 为了避免连续数据离散化处理时造成的信息损失,降低样本属性邻域求解的复杂度,提高特征基因提取的效率。该文在单调度量空间上,提出了一种基于单调邻域粗糙集的特征基因提取方法。并在两个标准的基因表达数据上进行了实验,结果证明该方法是有效可行的。
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| 关 键 词： | 粗糙集 单调邻域 特征基因 属性约简 |
The Extract of Feature Gene Based on Monotonicity Neighborhood Rough Set |
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| SONG Yan-pei,LI Yi-zhe,LI Chao,WU Wan-tao. The Extract of Feature Gene Based on Monotonicity Neighborhood Rough Set[J]. Digital Community & Smart Home, 2011, 0(19) |
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| Authors: | SONG Yan-pei LI Yi-zhe LI Chao WU Wan-tao |
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| Affiliation: | SONG Yan-pei,LI Yi-zhe,LI Chao,WU Wan-tao(College of Computer and Information Technology,Henan Normal University,Xinxiang 453007,China) |
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| Abstract: | In order to avoid the information losing when dispersing serial data,Lower complexity of sample attribute solving neighborhood,improve the efficiency of extracting characteristics gene.In this paper,on the monotonicity metric space,proposes a gene extraction method based on montonicity neighborhood rough set.And experiments it on the two standard gene expression data,the result proves that the method is effective and feasible. |
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| Keywords: | rough set monotonicity neighborhood characteristics gene attribute reduction |
| 本文献已被 CNKI 等数据库收录！ |
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