Missing Data Imputation Toolbox for MATLAB
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- 作者：Abel Folch-Fortunya ; abfolfor@upv.es" class="auth_mail" title="E-mail the corresponding author ; Francisco Arteagab ; Alberto Ferrera
- 关键词：Missing data ; Imputation ; PCA model building
- 刊名：Chemometrics and Intelligent Laboratory Systems
- 出版年：2016
- 出版时间：15 May 2016
- 年：2016
- 卷：154
- 期：Complete
- 页码：93-100
- 全文大小：1491 K
文摘
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A graphical user-friendly MATLAB interface is presented here: the Missing Data Imputation (MDI) Toolbox.
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MDI Toolbox allows imputing incomplete datasets, following missing completely at random pattern.
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Different state-of-the-art methods are included in the toolbox, such as trimmed scores regression and data augmentation.
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MDI toolbox is freely available at http://mseg.webs.upv.es under a GNU license.