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Distance estimation in numerical data sets with missing values

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Publication:497221
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DOI10.1016/J.INS.2013.03.043zbMath1320.68134OpenAlexW2170604454MaRDI QIDQ497221

Michel Verleysen, Amaury Lendasse, Gauthier Doquire, Emil Eirola

Publication date: 23 September 2015

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2013.03.043


zbMATH Keywords

imputationmissing datanearest neighbourdistance estimation


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)


Related Items (2)

Archetypal shapes based on landmarks and extension to handle missing data ⋮ Archetypal Analysis With Missing Data: See All Samples by Looking at a Few Based on Extreme Profiles


Uses Software

  • Matlab
  • UCI-ml
  • MATLAB Financial Toolbox
  • PRMLT



Cites Work

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  • Impact of imputation of missing values on classification error for discrete data
  • PRMLT
  • Nearest neighbour approach in the least-squares data imputation algorithms
  • Support-vector networks
  • Maximum likelihood estimation via the ECM algorithm: A general framework
  • ECM algorithms that converge at the rate of EM
  • Elements of Information Theory




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