first-nearest neighbors

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• 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 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

• 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

• Breadth-first search — Infobox Algorithm class=Search Algorithm Order in which the nodes are expanded data=Graph time=O(|V|+|E|) = O(b^d) space=O(|V|+|E|) = O(b^d) optimal=yes (for unweighted graphs) complete=yesIn graph theory, breadth first search (BFS) is a graph… …   Wikipedia

• Nonlinear dimensionality reduction — High dimensional data, meaning data that requires more than two or three dimensions to represent, can be difficult to interpret. One approach to simplification is to assume that the data of interest lies on an embedded non linear manifold within… …   Wikipedia

• Ising model — The Ising model, named after the physicist Ernst Ising, is a mathematical model in statistical mechanics. It has since been used to model diverse phenomena in which bits of information, interacting in pairs, produce collectiveeffects.Definition… …   Wikipedia

• Scale-invariant feature transform — Feature detection Output of a typical corner detection algorithm …   Wikipedia

• Semi-empirical mass formula — In nuclear physics, the semi empirical mass formula (SEMF), sometimes also called Weizsäcker s formula, is a formula used to approximate the mass and various other properties of an atomic nucleus. As the name suggests, it is partially based on… …   Wikipedia

• Mariposa Township, Ontario — Mariposa Township within former Victoria County The Township of Mariposa was a municipality located in the southwest corner of the former Victoria County, now the city of Kawartha Lakes, in the Canadian province of Ontario. The other municipal… …   Wikipedia

• Kd-tree — In computer science, a k d tree (short for k dimensional tree ) is a space partitioning data structure for organizing points in a k dimensional space. k d trees are a useful data structure for several applications, such as searches involving a… …   Wikipedia

• Diamond cubic — Unit cell of the diamond cubic crystal structure …   Wikipedia