Keywords

Missing dataProjection (relational algebra)Set (abstract data type)Computer scienceData setData miningStatisticsArtificial intelligenceMathematicsAlgorithmMachine learning

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Publication Info

Year
1996
Type
article
Volume
35
Issue
1
Pages
45-65
Citations
353
Access
Closed

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Philip R. Nelson, Paul A. Taylor, John F. MacGregor (1996). Missing data methods in PCA and PLS: Score calculations with incomplete observations. Chemometrics and Intelligent Laboratory Systems , 35 (1) , 45-65. https://doi.org/10.1016/s0169-7439(96)00007-x

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DOI
10.1016/s0169-7439(96)00007-x