Manifold learning
en construction
Définition
Manifold learning is an approach to non-linear dimensionality reduction. Algorithms for this task are based on the idea that the dimensionality of many data sets is only artificially high.
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manifold learning
Contributeurs: Jean Benoît Morel, wiki