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Nonlinear dimensionality reduction for parametric problems: a kernel Proper Orthogonal Decomposition (kPOD).
Pedro Díez
Alba Muixí
Sergio Zlotnik
Alberto García-González
Published in:
CoRR (2021)
Keyphrases
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nonlinear dimensionality reduction
laplacian eigenmaps
manifold learning
neural network
feature extraction
pattern recognition
feature space
multi class
dimensionality reduction
high dimensional data
high dimensionality