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nearest neighbor algorithm

См. также в других словарях:

  • k-nearest neighbor algorithm — KNN redirects here. For other uses, see KNN (disambiguation). In pattern recognition, the k nearest neighbor algorithm (k NN) is a method for classifying objects based on closest training examples in the feature space. k NN is a type of instance… …   Wikipedia

  • K-nearest neighbor algorithm — In pattern recognition, the k nearest neighbor algorithm ( k NN) is a method for classifying objects based on closest training examples in the feature space. k NN is a type of instance based learning, or lazy learning where the function is only… …   Wikipedia

  • Nearest neighbour algorithm — This article is about an approximation algorithm to solve the travelling salesman problem. For other uses, see Nearest neighbor. The nearest neighbour algorithm was one of the first algorithms used to determine a solution to the travelling… …   Wikipedia

  • Nearest neighbor search — (NNS), also known as proximity search, similarity search or closest point search, is an optimization problem for finding closest points in metric spaces. The problem is: given a set S of points in a metric space M and a query point… …   Wikipedia

  • Nearest neighbor — may refer to: Nearest neighbor search in pattern recognition and in computational geometry Nearest neighbor interpolation for interpolating data Nearest neighbor graph in geometry The k nearest neighbor algorithm in machine learning, an… …   Wikipedia

  • Nearest-neighbor interpolation — (blue lines) in one dimension on a (uniform) dataset (red points) …   Wikipedia

  • Nearest-neighbor chain algorithm — In the theory of cluster analysis, the nearest neighbor chain algorithm is a method that can be used to perform several types of agglomerative hierarchical clustering, using an amount of memory that is linear in the number of points to be… …   Wikipedia

  • Nearest neighbor graph — A nearest neighbor graph of 100 points in the Euclidean plane. The nearest neighbor graph (NNG) for a set of n objects P in a metric space (e.g., for a set of points in the plane with Euclidean distance) is a directed graph with P being its… …   Wikipedia

  • Greedy algorithm — A greedy algorithm is any algorithm that follows the problem solving metaheuristic of making the locally optimum choice at each stage Paul E. Black, greedy algorithm in Dictionary of Algorithms and Data Structures [online] , U.S. National… …   Wikipedia

  • Ibk algorithm — The ibk algorithm is an alternate version of the k nearest neighbor algorithm, used in k nearest neighbour classification …   Wikipedia

  • FNN algorithm — The false nearest neighbor (FNN) algorithm is an algorithm for estimating the embedding dimension.ee also* Time series * Nearest neighbor External links * [http://balrog.wku.edu/ amaral/docs/chaospaper/node9.html False nearest neighbors] by… …   Wikipedia

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