Definitions from Wikipedia (Nonlinear dimensionality reduction)
▸ noun: Nonlinear dimensionality reduction, also known as manifold learning, is any of various related techniques that aim to project high-dimensional data, potentially existing across non-linear manifolds which cannot be adequately captured by linear decomposition methods, onto lower-dimensional latent manifolds, with the goal of either visualizing the data in the low-dimensional space, or learning the mapping (either from the high-dimensional space to the low-dimensional embedding or vice versa) itself.
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▸ noun: Nonlinear dimensionality reduction, also known as manifold learning, is any of various related techniques that aim to project high-dimensional data, potentially existing across non-linear manifolds which cannot be adequately captured by linear decomposition methods, onto lower-dimensional latent manifolds, with the goal of either visualizing the data in the low-dimensional space, or learning the mapping (either from the high-dimensional space to the low-dimensional embedding or vice versa) itself.
▸ Words similar to Nonlinear dimensionality reduction
▸ Usage examples for Nonlinear dimensionality reduction
▸ Idioms related to Nonlinear dimensionality reduction
▸ Wikipedia articles (New!)
▸ Words that often appear near Nonlinear dimensionality reduction
▸ Rhymes of Nonlinear dimensionality reduction
▸ Invented words related to Nonlinear dimensionality reduction