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In geometry, a hyperplane is a generalization of a two-dimensional plane in three-dimensional space to mathematical spaces of arbitrary dimension. Like a plane in space, a hyperplane is a flat hypersurface, a subspace whose dimension is one less than that of the ambient space. Two lower-dimensional examples of hyperplanes are one-dimensional lines in a…
Applications, Special types of hyperplanes & Overview
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space hyperplanes subspace two geometry affine dimension codimension projective ambient points euclidean one plane spaces vector linear n-dimensional concept distance
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Hyperplane | is a | generalization of a two-dimensional plane in three-dimensional space to mathematical spaces of arbitrary dimension | 0.90 | text |
| Hyperplane | is a | flat hypersurface | 0.90 | text |
| Hyperplane | is a | kind of motion | 0.90 | text |
| Hyperplane | is a | affine subspace of codimension 1 in an affine space | 0.90 | text |
| Hyperplane | is a | linear subspace of codimension 1 | 0.90 | text |
| Hyperplane | is a | solution of a single linear equation.Projective hyperplanesProjective hyperplanes are used in projective geometry | 0.90 | text |
| Hyperplane | is a | infinite or ideal hyperplane | 0.90 | text |
| Hyperplane | is a | solution of a single linear equation | 0.90 | text |
| elliptic space or projective space | instance of | In a non-orientable space | 0.80 | text |
| there is no concept of half-planes | instance of | In a non-orientable space | 0.80 | text |
| linear-combination | instance of | Affine hyperplanes are used to define decision boundaries in many machine learning algorithms | 0.80 | text |
| Hyperplane | has application | In | 0.60 | section |
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