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Imputation of missing values in multi-view data
March 1, 2024, 5:44 a.m. | Wouter van Loon, Marjolein Fokkema, Frank de Vos, Marisa Koini, Reinhold Schmidt, Mark de Rooij
cs.LG updates on arXiv.org arxiv.org
Abstract: Data for which a set of objects is described by multiple distinct feature sets (called views) is known as multi-view data. When missing values occur in multi-view data, all features in a view are likely to be missing simultaneously. This leads to very large quantities of missing data which, especially when combined with high-dimensionality, makes the application of conditional imputation methods computationally infeasible. We introduce a new imputation method based on the existing stacked penalized …
abstract arxiv cs.lg data feature features imputation leads missing values multiple objects set stat.me stat.ml type values view
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