Pointed subspace approach to incomplete data

DOI10.1007/s00357-019-9304-3OpenAlexW2963843908WikidataQ128203302 ScholiaQ128203302MaRDI QIDQ779006

Marek Śmieja, Jacek Tabor, Łukasz Struski

Publication date: 21 July 2020

Published in: Journal of Classification (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1705.00840

zbMATH Keywords

incomplete dataimputationlinear transformationsmissing valuesSVM

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Uses Software

• MICE

Cites Work

• Incremental tree-based missing data imputation with lexicographic ordering
• Accurate tree-based missing data imputation and data fusion within the statistical learning paradigm
• Learning to classify with missing and corrupted features
• Techniques for dealing with incomplete data: a tutorial and survey
• Handling missing data in item response theory. Assessing the accuracy of a multiple imputation procedure based on latent class analysis
• Handling missing values in support vector machine classifiers
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