Méthode d'alignement de variétés

Définition

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Anglais

Manifold alignment

Manifold alignment is a class of machine learning algorithms that produce projections between sets of data, given that the original data sets lie on a common manifold. The concept was first introduced as such by Ham, Lee, and Saul in 2003,[1] adding a manifold constraint to the general problem of correlating sets of high-dimensional vectors.[2]

Source : Source : Wikipedia

Source : Wikipedia Machine learning algorithms