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(1+ ε)-approximate nearest neighbor search is a variant of the nearest neighbor search problem. A solution to the (1+ ε )-approximate nearest neighbor search is a point or multiple points within distance (1+ ε ) R from a query point, where R is the distance between the query point and its true nearest neighbor.
An approximate nearest neighbor search algorithm is allowed to return points whose distance from the query is at most times the distance from the query to its nearest points. The appeal of this approach is that, in many cases, an approximate nearest neighbor is almost as good as the exact one.
The 'nearest relative' has the right to request discharge of patients detained under Section 2 (assessment), Section 3 (treatment), Section 7 (guardianship) or Section 17a (community treatment order) of the Act, by giving no more than 72 hours' notice in writing to the 'responsible clinician. [1]
Neighbourhood components analysis is a supervised learning method for classifying multivariate data into distinct classes according to a given distance metric over the data. . Functionally, it serves the same purposes as the K-nearest neighbors algorithm and makes direct use of a related concept termed stochastic nearest neighbo
The k-nearest neighbor algorithm in machine learning, an application of generalized forms of nearest neighbor search and interpolation; The nearest neighbour algorithm for approximately solving the travelling salesman problem; The nearest-neighbor thermodynamic parameters for determining the thermodynamics of nucleic acids
Barring may refer to: . Barring (music), a guitar playing technique Barring engine, forms part of the installation of a large stationary steam engine; Barring order, an order used by a court to protect a person, object, business, company, state, country, establishment, or entity, and the general public, in a situation involving alleged domestic violence, child abuse, assault, harassment ...
Nearest-neighbor interpolation (also known as proximal interpolation or, in some contexts, point sampling) is a simple method of multivariate interpolation in one or more dimensions. Interpolation is the problem of approximating the value of a function for a non-given point in some space when given the value of that function in points around ...
Large margin nearest neighbor (LMNN) [1] classification is a statistical machine learning algorithm for metric learning. It learns a pseudometric designed for k-nearest neighbor classification. The algorithm is based on semidefinite programming , a sub-class of convex optimization .