« Manifold learning » : différence entre les versions
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== Définition == | == 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. | |||
== Français == | == Français == | ||
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== Anglais == | == Anglais == | ||
''' | '''manifold learning ''' | ||
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[http://semantic-portal.net/base-machine-learning-scikit-learn-unsupervised-manifold-learning Source : semantic-portal.net ] | |||
[https://www.quora.com/What-is-manifold-learning-in-laymans-term Source : quora ] | [https://www.quora.com/What-is-manifold-learning-in-laymans-term Source : quora ] | ||
[[Catégorie:vocabulary]] | [[Catégorie:vocabulary]] | ||
Version du 10 décembre 2021 à 11:22
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.
Français
XXXXXXXXX
Anglais
manifold learning
Contributeurs: Jean Benoît Morel, wiki
