The nearest neighbor graph (NNG) is a directed graph defined for a set of points in a metric space, such as the Euclidean distance in the plane. The NNG...

Nearest neighbor graph in geometry Nearest neighbor function in probability theory Nearest neighbor decoding in coding theory The k-nearest neighbor algorithm...

In statistics, the k-nearest neighbors algorithm (k-NN) is a non-parametric supervised learning method. It was first developed by Evelyn Fix and Joseph...

Nearest neighbor search (NNS), as a form of proximity search, is the optimization problem of finding the point in a given set that is closest (or most...

(HNSW) algorithm is a graph-based approximate nearest neighbor search technique used in many vector databases. Nearest neighbor search without an index...

paths in the nearest neighbor graph of the clusters. Every such path will eventually terminate at a pair of clusters that are nearest neighbors of each other...

The k-nearest neighbor algorithm can be used for defining a k-nearest neighbor smoother as follows. For each point X0, take m nearest neighbors and estimate...

Euclidean minimum spanning tree, the relative neighborhood graph, and the nearest neighbor graph. It is an instance of a beta-skeleton. Like beta-skeletons...

k-nearest neighbors algorithm (k-NN), a method for classifying objects Nearest neighbor graph (k-NNG), a graph connecting each point to its k nearest neighbors...

structure for maintenance of all the nearest neighbors on moving objects. It is named for its relation to the Yao graph, which is named after Andrew Yao....

vice versa. The closest neighbor b to any point p is on an edge bp in the Delaunay triangulation since the nearest neighbor graph is a subgraph of the Delaunay...

planar graphs, separator theorems have been applied to other classes of graphs including graphs excluding a fixed minor, nearest neighbor graphs, and finite...

Three other well known proximity graphs are the nearest neighbor graph, the Urquhart graph, and the Gabriel graph. The first is contained in the minimum...

The nearest neighbour algorithm was one of the first algorithms used to solve the travelling salesman problem approximately. In that problem, the salesman...

{\displaystyle {\mathcal {P}}} in the plane contains the Gabriel graph, the nearest neighbor graph and the minimal spanning tree of P {\displaystyle {\mathcal...

message passing, such that graph nodes iteratively update their representations by exchanging information with their neighbors. Several GNN architectures...

manual labels. Text classification utilizes a graph-based technique, where the nearest neighbor graph is built from network embeddings, and labels are...

given items and distances. Then, applying Kruskal's algorithm to the sparse graph formed by the edges of the minimum spanning tree produces the clustering...

bisector of the cone) and selects the nearest neighbor with respect to orthogonal projections to that ray. The resulting graph exhibits several good spanner properties...

In mathematics applied to computer graphics, nearest neighbor value interpolation is an advanced method of image interpolation. This method fills the empty...

Bivariegated graph Cage (graph theory) Cayley graph Circle graph Clique graph Cograph Common graph Complement of a graph Complete graph Cubic graph Cycle graph De...

penny graphs have also been called minimum-distance graphs, smallest-distance graphs, or closest-pairs graphs. Similarly, in a mutual nearest neighbor graph...

query point All nearest neighbors problem (construction of the nearest-neighbor graph): Given N points, find a closest one for each of them Diameter (computational...

are nearest neighbors, at distance 2 {\displaystyle {\sqrt {2}}} . It can also be defined, divorced from its geometry, as an abstract undirected graph, a...

onto the nearest point to them along that path. p-Creode finds the most likely path through a density-adjusted k-nearest neighbor graph. Graphs from an...

effect of high dimensionality on distance functions concerns k-nearest neighbor (k-NN) graphs constructed from a data set using a distance function. As the...

Farthest neighbor may refer to: Farthest neighbor graph in geometry The farthest neighbor method for calculating distances between clusters in hierarchical...

Changxu; Cai, Deng (2017). "Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph". arXiv:1707.00143 [cs.LG]. Jégou, H; Douze...

items. Vector databases typically implement one or more approximate nearest neighbor algorithms, so that one can search the database with a query vector...

Wang, Yong (August 2023). "CAGRA: Highly Parallel Graph Construction and Approximate Nearest Neighbor Search for GPUs". arXiv:2308.15136 [cs.DS]. "Install...