Clustering with missing data: which equivalent for Rubin’s rules? - Archive ouverte HAL Access content directly
Journal Articles Advances in Data Analysis and Classification Year : 2022

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hal-03766733 , version 1 (01-09-2022)

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Vincent Audigier, Ndèye Niang. Clustering with missing data: which equivalent for Rubin’s rules?. Advances in Data Analysis and Classification, 2022, ⟨10.1007/s11634-022-00519-1⟩. ⟨hal-03766733⟩
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