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Nonlinear Dimensionality Reduction With Missing Data Using Parametric Multiple Imputations.
Cyril de Bodt
Dounia Mulders
Michel Verleysen
John Aldo Lee
Published in:
IEEE Trans. Neural Networks Learn. Syst. (2019)
Keyphrases
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missing data
incomplete data
nonlinear dimensionality reduction
missing values
structure from motion
manifold learning
low rank
matrix factorization
dimensionality reduction
low dimensional
neural network
pattern recognition
data sets
maximum likelihood
high dimensional data
locally linear embedding