Article ID Journal Published Year Pages File Type
7563417 Chemometrics and Intelligent Laboratory Systems 2013 10 Pages PDF
Abstract
► The performance of five imputation methods is compared on synthetic and real data sets with elements missing completely at random. ► Correlation of imputation accuracy and classification accuracy is revealed. ► Relation between covariance changes and classification error changes affected by imputation is investigated.
Related Topics
Physical Sciences and Engineering Chemistry Analytical Chemistry
Authors
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