| 不完全数据集上的半参组群差异检测 |
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| 引用本文： | 张师超. 不完全数据集上的半参组群差异检测[J]. 浙江师范大学学报(自然科学版), 2010, 33(3): 241-247 |
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| 作者姓名： | 张师超 |
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| 作者单位： | 浙江师范大学,数理与信息工程学院,浙江,金华321004 |
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| 基金项目： | 国家自然科学基金资助项目，澳大利亚ARC基金资助项目 |
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| 摘 要： | 组群差异检测广泛应用于医药、社会网络等领域.现有的组群差异检测都是建立在数据集没有缺失的情况下,因此讨论并给出了在数据集缺失的情况下进行组群差异检测的方法.首先,使用一种新颖的缺失数据填充方法填充缺失数据,然后在半参环境下使用经验似然方法对得到的完全数据集估计出置信区间,进而进行组群差异检测.
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| 关 键 词： | 缺失数据填充 经验似然 组群差异检测 不完全数据集 |
Semi-EL detection of group differences between incomplete datasets |
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| ZHANG Shichao. Semi-EL detection of group differences between incomplete datasets[J]. Journal of Zhejiang Normal University Natural Sciences, 2010, 33(3): 241-247 |
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| Authors: | ZHANG Shichao |
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| Affiliation: | ZHANG Shichao(College of Mathematics,Physics and Information Engineering,Zhejiang Normal University,Jinhua Zhejiang 321004,China) |
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| Abstract: | Group difference detection had widely been used in medical research and social network analysis.It was studied a group-interaction approach for incomplete data mining.Specifically,the incomplete data were first completed by missing value imputation in the parimputation strategy,and then semi-empirical likelihood(semi-EL) inference was used to estimate the group differences.To experimentally illustrate the efficiency,the proposed approach was evaluated with UCI datasets. |
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| Keywords: | missing values imputation empirical likelihood group difference detection incomplete datasets |
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