bn:02442972n
Noun Concept
Categories: Articles with short description, Dimension reduction
EN
nonlinear dimensionality reduction  Uniform manifold approximation and projection  Local linear embedding  locally linear embedding  locally linear embeddings
EN
Nonlinear dimensionality reduction, also known as manifold learning, refers to various related techniques that aim to project high-dimensional data onto lower-dimensional latent manifolds, with the goal of either visualizing the data in the low-dimensional space, or learning the mapping itself. Wikipedia
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EN
Nonlinear dimensionality reduction, also known as manifold learning, refers to various related techniques that aim to project high-dimensional data onto lower-dimensional latent manifolds, with the goal of either visualizing the data in the low-dimensional space, or learning the mapping itself. Wikipedia
Simplification that assumes that the data of interest lie on an embedded non-linear manifold within the higher-dimensional space. Wikipedia Disambiguation
Summary of algorithms for nonlinear dimensionality reduction Wikidata