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Algorithm for the travelling salesman problem
The nearest neighbour algorithm was one of the first algorithms used to solve the travelling salesman problem approximately. In that problem, the salesman
Nearest_neighbour_algorithm
Non-parametric classification method
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
K-nearest_neighbors_algorithm
Optimization problem in computer science
optical character recognition Statistical classification – see k-nearest neighbor algorithm Computer vision – for point cloud registration Computational geometry
Nearest_neighbor_search
Method of multivariate interpolation
points around (neighboring) that point. The nearest neighbor algorithm selects the value of the nearest point and does not consider the values of neighboring
Nearest-neighbor interpolation
Nearest-neighbor_interpolation
Topics referred to by the same term
neighbor algorithm in machine learning, an application of generalized forms of nearest neighbor search and interpolation The nearest neighbour algorithm for
Nearest_neighbor
Any algorithm which solves the search problem
on. Examples include Dijkstra's algorithm, Kruskal's algorithm, the nearest neighbour algorithm, and Prim's algorithm. Another important subclass of this
Search_algorithm
Type of directed graph
In theoretical discussions of algorithms a kind of general position is often assumed, namely, the nearest (k-nearest) neighbor is unique for each object
Nearest_neighbor_graph
Agglomerative hierarchical clustering method
whose elements are involved to be merged. The method is also known as nearest neighbour clustering. The result of the clustering can be visualized as a dendrogram
Single-linkage_clustering
salesman problem Christofides algorithm Nearest neighbour algorithm Vehicle routing problem Clarke and Wright Saving algorithm Warnsdorff's rule: a heuristic
List_of_algorithms
NP-hard problem in combinatorial optimization
problem, considers the obvious brute-force algorithm, and observes the non-optimality of the nearest neighbour heuristic: We denote by messenger problem
Travelling_salesman_problem
Space partitioning data structure
A. M.; Frank, E. (2007). "An Empirical Comparison of Exact Nearest Neighbour Algorithms". Knowledge Discovery in Databases: PKDD 2007 (PDF). Lecture
Ball_tree
Multidimensional search tree for points in k dimensional space
variants are adaptive k-d trees. The nearest neighbour search (NN) algorithm aims to find the point in the tree that is nearest to a given input point. This search
K-d_tree
Hamiltonian path problem Knight's tour Traveling salesman problem Nearest neighbour algorithm Bottleneck traveling salesman problem Path analysis (paths and
List_of_graph_theory_topics
taylor-kehitelmana [The representation of the cumulative rounding error of an algorithm as a Taylor expansion of the local rounding errors] (PDF) (Thesis) (in
Timeline_of_machine_learning
Object detection system using radio waves
the span of a few minutes. There are four common track algorithms: Nearest neighbour algorithm Probabilistic Data Association Multiple Hypothesis Tracking
Radar
Best bin first is a search algorithm that is designed to efficiently find an approximate solution to the nearest neighbor search problem in very-high-dimensional
Best_bin_first
Statistical machine learning algorithm for metric learning
Large margin nearest neighbor (LMNN) classification is a statistical machine learning algorithm for metric learning. It learns a pseudometric designed
Large_margin_nearest_neighbor
Algorithms to decode messages
maximised by minimising d. Minimum distance decoding is also known as nearest neighbour decoding. It can be assisted or automated by using a standard array
Decoding_methods
Form of kernel density estimation in which the size of the kernels used is varied
of the (2 π)D/2 term. This produces a generalization of the k-nearest neighbour algorithm. That is, a uniform kernel function will return the KNN technique
Variable kernel density estimation
Variable_kernel_density_estimation
Process of categorizing documents
classifier Soft set-based classifier Support vector machines (SVM) K-nearest neighbour algorithms tf–idf Classification techniques have been applied to spam filtering
Document_classification
Machine learning algorithm
every node has a label that the maximum number of their neighbours have, then stop the algorithm. Else, set t = t + 1 and go to (3). Label propagation offers
Label_propagation_algorithm
Mapping function that preserves data point locality
RAM", ACM-SIAM Symposium on Discrete Algorithms. Connor, M.; Kumar, P (2009), "Fast construction of k-nearest neighbour graphs for point clouds", IEEE Transactions
Z-order_curve
same purposes as the K-nearest neighbors algorithm and makes direct use of a related concept termed stochastic nearest neighbours. Neighbourhood components
Neighbourhood components analysis
Neighbourhood_components_analysis
Type of plane partition
Rachael; McDonnell, Rachael A.; Lloyd, Christopher D. (2015). "8.11 Nearest neighbours: Thiessen (Dirichlet/Voroni) polygons". Principles of Geographical
Voronoi_diagram
Bottom-up clustering method for creating phylogenetic trees
Mailund, Thomas; Pedersen, Christian N. S. (2008). "Rapid Neighbour-Joining" (PDF). Algorithms in Bioinformatics. Lecture Notes in Computer Science. Vol
Neighbor_joining
Algorithm for measuring similarity between temporal sequences
In time series analysis, dynamic time warping (DTW) is an algorithm for measuring similarity between two temporal sequences, which may vary in speed.
Dynamic_time_warping
Data structures used in spatial indexing
stored in B-trees. As with most trees, the searching algorithms (e.g., intersection, containment, nearest neighbor search) are rather simple. The key idea
R-tree
Statistical method in data analysis
networks Locality-sensitive hashing Nearest neighbor search Nearest-neighbor chain algorithm Numerical taxonomy OPTICS algorithm Statistical distance Persistent
Hierarchical_clustering
sophisticated mechanism, generally SVM at every node. KNN (k nearest neighbours) algorithm finds the k neighbours which are really similar to the testing instance
Product_finder
Study of how temperature affects the nucleic acid structure
into the thermodynamics of DNA hybridization and the validity of the nearest-neighbour model as well. A more realistic way of modeling the behavior of nucleic
Nucleic_acid_thermodynamics
Feature detection algorithm in computer vision
a modification of the k-d tree algorithm called the best-bin-first search (BBF) method that can identify the nearest neighbors with high probability
Scale-invariant feature transform
Scale-invariant_feature_transform
Method in machine learning
Tremblay, G. (2004). Optimizing Nearest Neighbour in Random Subspaces using a Multi-Objective Genetic Algorithm (PDF). 17th International Conference
Random_subspace_method
Name list
August 2013. Arul Suju, Hancy Jose, FLANN: Fast approximate nearest neighbour search algorithm for elucidating human-wildlife conflicts in forest areas doi:10
Flann
Change of basis applied in quantum computing
Hollenberg, L.C.L. (July 2004). "Implementation of Shor's algorithm on a linear nearest neighbour qubit array". Quantum Information and Computation. 4 (4):
Quantum_Fourier_transform
Methods of estimating differential entropy given some observations
find the distance to its nearest neighbour. We can in fact estimate the entropy from the distribution of the nearest-neighbour-distance of our datapoints
Entropy_estimation
Difficulties arising when analyzing data with many aspects ("dimensions")
PMID 34048335. S2CID 235242104. Marimont, R.B.; Shapiro, M.B. (1979). "Nearest Neighbour Searches and the Curse of Dimensionality". IMA J Appl Math. 24 (1):
Curse_of_dimensionality
Two-dimensional cellular automaton
travel indefinitely away from the initial location. Because of the nearest-neighbour based rules, no information can travel through the grid at a greater
Conway's_Game_of_Life
size at the blue points is the radius of the associated blue circle. Nearest neighbour function Amenta, Nina; Bern, Marshall (1999). "Surface reconstruction
Local_feature_size
Quantum many-body simulation algorithm
(TEBD) algorithm is a numerical scheme used to simulate one-dimensional quantum many-body systems, characterized by at most nearest-neighbour interactions
Time-evolving block decimation
Time-evolving_block_decimation
Machine learning algorithm
Structured k-nearest neighbours (SkNN) is a machine learning algorithm that generalizes k-nearest neighbors (k-NN). k-NN supports binary classification
Structured_kNN
Aspect of facial recognition software
increasing the pixel intensities of input images with such algorithms as nearest-neighbour, bilinear and variants of cubic spline interpolation. Another
Face_hallucination
Population models of evolutionary algorithms
in which each vertex is an individual that communicates with its nearest neighbours. Particularly, individuals are conceptually set in a toroidal mesh
Population model (evolutionary algorithm)
Population_model_(evolutionary_algorithm)
Algorithms and methods of plotting the Mandelbrot set on a computing device
These programs use a variety of algorithms to determine the color of individual pixels efficiently. The simplest algorithm for generating a representation
Plotting algorithms for the Mandelbrot set
Plotting_algorithms_for_the_Mandelbrot_set
Variance Unfolding (MVU), also known as Semidefinite Embedding (SDE), is an algorithm in computer science that uses semidefinite programming to perform non-linear
Semidefinite_embedding
Machine learning strategy
Active learning is a special case of machine learning in which a learning algorithm can interactively query a human user (or some other information source)
Active learning (machine learning)
Active_learning_(machine_learning)
Method of spatial interpolation
points. This has advantages over simpler methods of interpolation, such as nearest-neighbor interpolation, in that it provides a smoother approximation to
Natural-neighbor interpolation
Natural-neighbor_interpolation
basic step of the algorithm Compact stencil — stencil which only uses a few grid points, usually only the immediate and diagonal neighbours Higher-order compact
List of numerical analysis topics
List_of_numerical_analysis_topics
Particular task in computer vision
the notation "higher neighbour" stand for "neighbour pixel having a higher grey-level value". Then, at any stage in the algorithm (carried out in decreasing
Blob_detection
covariance function and stochastic PDEs, periodic embedding, and Nearest Neighbour Gaussian processes. The first method applies to the case of d = 2
Gaussian process approximations
Gaussian_process_approximations
Problem in machine learning and statistical classification
classification problems. Several algorithms have been developed based on neural networks, decision trees, k-nearest neighbors, naive Bayes, support vector
Multiclass_classification
Bioinformatics software package
company Second Genome that produces metagenome predictions based on nearest-neighbour clustering of input 16S rRNA gene sequences with 16S rRNA gene sequences
PICRUSt
Supervised machine learning techniques
Structured k-nearest neighbours Recurrent neural networks, in particular Elman networks Transformers. One of the easiest ways to understand algorithms for general
Structured_prediction
Iterative simulation method
guarantee an optimal solution is ever found. A basic variant of the PSO algorithm is initialized with a connected population (called a swarm) of candidate
Particle_swarm_optimization
Algorithm for anomaly detection
In anomaly detection, the local outlier factor (LOF) is an algorithm proposed by Markus M. Breunig, Hans-Peter Kriegel, Raymond T. Ng and Jörg Sander
Local_outlier_factor
relative landscape position indices LiDAR tools: IDW interpolation, nearest neighbour interpolation, point density, removal of off-terrain objects (non-ground
Whitebox Geospatial Analysis Tools
Whitebox_Geospatial_Analysis_Tools
The Swendsen–Wang algorithm is the first non-local or cluster algorithm for Monte Carlo simulation for large systems near criticality. It has been introduced
Swendsen–Wang_algorithm
planar case, more efficient algorithms exist. They are based on the idea that connections may only happen with the nearest neighbour of a point in each octant
Rectilinear minimum spanning tree
Rectilinear_minimum_spanning_tree
Type of parallel computing architecture of tightly coupled nodes
arrays are arrays of DPUs which are connected to a small number of nearest neighbour DPUs in a mesh-like topology. DPUs perform a sequence of operations
Systolic_array
Computer recognition of visual text
recognition and most modern OCR software. Nearest neighbour classifiers such as the k-nearest neighbors algorithm are used to compare image features with
Optical_character_recognition
Increasing sequence of reduced fractions
a_{n-1},\ a_{n}+1]\end{aligned}}} then the nearest neighbour of p/q in Fq (which will be its neighbour with the larger denominator) has a continued
Farey_sequence
Process of finding a spatial transformation that aligns two point clouds
and related methods, it is not necessary to find the nearest neighbour, which allows the KC algorithm to be comparatively simple in implementation. Compared
Point-set_registration
Application of computational algorithms, methods and programs to phylogenetic analyses
how well a phylogenetic tree topology describes the sequence data. Nearest Neighbour Interchange (NNI), Subtree Prune and Regraft (SPR), and Tree Bisection
Computational_phylogenetics
Swarming behaviour of birds when flying or foraging
crowding neighbours (short range repulsion) Alignment Steer towards average heading of neighbours Cohesion Steer towards average position of neighbours (long
Flocking
Coding theory algorithm
In coding theory, Zemor's algorithm, designed and developed by Gilles Zémor, is a recursive low-complexity approach to code construction. It is an improvement
Zemor's_decoding_algorithm
French academic
Gérard; Devroye, Luc (2010-11-01). "On the layered nearest neighbour estimate, the bagged nearest neighbour estimate and the random forest method in regression
Gérard_Biau
Machine learning technique useful for dimensionality reduction
proposed random initiation of weights. (This approach is reflected by the algorithms described above.) More recently, principal component initialization, in
Self-organizing_map
Type of weighted geometric graph
each cone (conventionally the bisector of the cone) and selects the nearest neighbour with respect to orthogonal projections to that ray. The greedy spanner
Geometric_spanner
In biology, any group of fish that stay together for social reasons
Nearest neighbour position – In a polar coordinate system, the nearest neighbour position describes the angle and distance of the nearest neighbour to
Shoaling_and_schooling
Collective behaviour of entities that swarm
their local neighbourhood. Simulations demonstrate that a suitable "nearest neighbour rule" eventually results in all the particles swarming together, or
Swarm_behaviour
(2004). "An Optimal Randomised Cell Probe Lower Bound for Approximate Nearest Neighbour Searching". 45th Annual IEEE Symposium on Foundations of Computer
Cell-probe_model
Method of defining surface detail on a computer-generated graphic or 3D model
governed by texture filtering. The cheapest method is to use the nearest-neighbour interpolation, but bilinear interpolation or trilinear interpolation
Texture_mapping
Classification of Artificial Neural Networks (ANNs)
a similar experience to form a local model are often called nearest neighbour or k-nearest neighbors methods. Deep learning is useful in semantic hashing
Types of artificial neural networks
Types_of_artificial_neural_networks
Type of autonomous agent
up to some added noise. Simulations demonstrate that a suitable "nearest neighbour rule" eventually results in all the particles swarming together or
Self-propelled_particles
conjecture (Jinxin Xue, 2014) Existence of a non-terminating game of beggar-my-neighbour (Brayden Casella, 2024) The angel problem (Various independent proofs
List of unsolved problems in mathematics
List_of_unsolved_problems_in_mathematics
Leaf Recognition Using Shape Features and Colour Histogram with K-nearest Neighbour Classifiers". Procedia Computer Science. 58: 740–747. doi:10.1016/j
List of datasets for machine-learning research
List_of_datasets_for_machine-learning_research
Scanning electron microscopy technique
experimental pattern and a computationally determined orientation, and or/and neighbour pattern averaging and re-indexing, NPAR). Indexing then give a unique
Electron backscatter diffraction
Electron_backscatter_diffraction
Class of artificial neural networks
pooling layers in convolutional neural networks. Examples include k-nearest neighbours pooling, top-k pooling, and self-attention pooling. Global pooling:
Graph_neural_network
Type of diagnosis assisted by computers
following procedures are examples of classification algorithms. Nearest-Neighbor Rule (e.g. k-nearest neighbors) Minimum distance classifier Cascade classifier
Computer-aided_diagnosis
Simulation of a dynamical system of particles
applications which use adaptive (hierarchical) time steps, an Ahmad-Cohen neighbour scheme and regularization of close encounters. Regularization is a mathematical
N-body_simulation
Discrete model of computation
most five neighbours. In the latter, this means that cells survive if they have one to four neighbours. If a cell has exactly three neighbours, it is born
Cellular_automaton
Technology capable of matching a face from an image against a database of faces
system use example-based machine learning with pixel substitution or nearest neighbour distribution indexes that may also incorporate demographic and age-related
Facial_recognition_system
Body screening device
still more than 3 orders of magnitude lower in energy than its nearest radiotoxic neighbour (ultraviolet) in the electromagnetic spectrum. As such, millimeter
Millimeter_wave_scanner
Set of eigenvectors used in the computer vision problem of human face recognition
against all weights in the gallery set to find the closest match. A nearest-neighbour method is a simple approach for finding the Euclidean distance between
Eigenface
Threshold of percolation theory models
1088/0370-1328/83/3/118. Collier, Andrew. "Percolation Threshold: Including Next-Nearest Neighbours". Ouyang, Yunqing; Y. Deng; Henk W. J. Blöte (2018). "Equivalent-neighbor
Percolation_threshold
PMC 7121939. Rivas E, Eddy SR (February 1999). "A dynamic programming algorithm for RNA structure prediction including pseudoknots". Journal of Molecular
List of RNA structure prediction software
List_of_RNA_structure_prediction_software
Video coding format
echelons. There are two linear upsamplers, bicubic and sharp, and a nearest-neighbour upsampler. Six different non-linear upsamplers are defined by a set
VC-6
Quasiparticle of mechanical vibrations
phonons. The forces between the atoms are assumed to be linear and nearest-neighbour, and they are represented by an elastic spring. Each atom is assumed
Phonon
Decryption of World War II cipher
operators, that no letter should be connected on the plugboard to its neighbour in the alphabet. This reduced the problem of identifying the plugboard
Cryptanalysis_of_the_Enigma
Tiling of the hyperbolic plane
complexity of graph algorithms. Recursive data structures resembling quadtrees, based on binary tiling, have been used for approximate nearest neighbor queries
Binary_tiling
Internet-like structure connecting everyday physical objects
to handle massive amounts of data, and an indexing for fast search and neighbour operations. On the Internet of things, if things are able to take actions
Internet_of_things
learning systems, including C4.5, Backpropagation Neural Network, K Nearest Neighbour, and Support Vector Machines. During learning, fusion ART formulates
Fusion adaptive resonance theory
Fusion_adaptive_resonance_theory
Terrain measurement with light beams
data points are classified correctly. Algorithms can identify pre-dominate landform features, these algorithms assume the surfaces with significant variations
Geological structure measurement by LiDAR
Geological_structure_measurement_by_LiDAR
Techniques to study geometric data
or to chip fabrication engineering, with its use of "place and route" algorithms to build complex wiring structures. In a more restricted sense, spatial
Spatial_analysis
1984 video game
galactic hyperspace— these are more than 7 light years from their nearest neighbour, and, being low-tech, are unable to replace the galactic hyperdrive
Elite_(video_game)
Set of genes all related by point mutations that have equivalent function or fitness
Later, Smith and Waterman developed an algorithm that performed local sequence alignment. Another prediction algorithm for RNA secondary structure was given
Neutral_network_(evolution)
geometric separator exists, it can be used for building divide-and-conquer algorithms for solving various problems in computational geometry. In 1979, Helge
Geometric_separator
System to capture, manage, and present geographic data
global (it uses the entire data set to form the model), or local where an algorithm is repeated for a small section of terrain. Interpolation is a justified
Geographic_information_system
Functions for calculating potential energy
By also using a cellular method for finding the neighbours, the MD algorithm can be an O(N) algorithm. Potentials with an infinite range can be summed
Interatomic_potential
Opposition to Germany, its inhabitants and culture
widespread positive views of Germany could be found among its European neighbours, including very large majorities in Italy (82%), Spain (77%), Portugal
Anti-German_sentiment
Asteroid population sharing similar proper orbital elements
most prominent algorithms have been the hierarchical clustering method (HCM), which looks for groupings with small nearest-neighbour distances in orbital
Asteroid_family
NEAREST NEIGHBOUR-ALGORITHM
NEAREST NEIGHBOUR-ALGORITHM
Girl/Female
American, British, English, Japanese, Latin
Happy; Near One; Joyous; Place Name; The Nearest and Dearest One; An Oak Tree; A Companion
Boy/Male
Indian, Telugu
Dearest
Boy/Male
English American German
Earnest.
Surname or Lastname
English
English : variant of Neighbor.
Surname or Lastname
English
English : from Middle English neghebour, a compound of Old English nēah ‘near’ + gebūr ‘dweller’. Compare Bauer. This may have been used as a nickname for someone who was a ‘good neighbor’, or more probably it derives from the common use of the word as a term of address.Translation of German Nachbar.
Girl/Female
Hindu, Indian
Nearest
Girl/Female
Tamil
Prestha | பà¯à®°à¯‡à®¸à¯à®¤à®¾
Dearest
Prestha | பà¯à®°à¯‡à®¸à¯à®¤à®¾
Boy/Male
Muslim
Neighbor of Allah
Girl/Female
American, British, English
Nearest
Boy/Male
Indian
Dearest
Girl/Female
Australian, German, Jamaican
Dearest
Girl/Female
Gujarati, Hindu, Indian
Dearest Goddess
Girl/Female
Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Telugu
Dearest
Girl/Female
Australian, French, German, Latin
Dearest
Boy/Male
Indian
Neighbor of Allah
Male
English
Variant spelling of English Ernest, EARNEST means "battle (to the death), serious business."
Girl/Female
Gujarati, Hindu, Indian
Dearest Goddess
Boy/Male
Arabic, Muslim
Neighbour of Allah
Boy/Male
Hindu
Nearest, Intimate as a friend
Surname or Lastname
English
English : variant of Neighbor.
NEAREST NEIGHBOUR-ALGORITHM
NEAREST NEIGHBOUR-ALGORITHM
Boy/Male
Arabic
Variant of Nu'man; Blood; Old Arabic Name
Girl/Female
Tamil
Goddess Parvati, Goddess Durga
Girl/Female
American, Australian, Chinese, Danish, Dutch, French, German, Greek, Hebrew
Laurel Tree
Boy/Male
Afghan, African, Arabic, German, Hindu, Indian, Iranian, Kannada, Malaysian, Marathi, Muslim, Pashtun, Tamil, Telugu
Merciful; Compassionate; Merciful Origin Islamic; 55th Surah of the Quran; Affectionate; Gracious
Boy/Male
Irish
Swarthy.
Boy/Male
Indian, Kannada
Lord Shiva
Boy/Male
Tamil
Ponraj | போநà¯à®°à®¾à®œÂ
Gold
Girl/Female
Hindu, Indian, Tamil
Good Smell; Fragrance
Girl/Female
American, Australian, British, English, Finnish, Hebrew, Swedish
God is Gracious; Modern Female Version of John and Jon
Girl/Female
Hindu
Queen Radha, The beloved of Sri Krishna Bhagavan
NEAREST NEIGHBOUR-ALGORITHM
NEAREST NEIGHBOUR-ALGORITHM
NEAREST NEIGHBOUR-ALGORITHM
NEAREST NEIGHBOUR-ALGORITHM
NEAREST NEIGHBOUR-ALGORITHM
p. pr. & vb. n
of neighbor
a.
Near to another; adjoining; adjacent; next; neighboring.
a.
Next; nearest.
adv.
To approach; to come nearer; as, the ship neared the land.
v. t.
To use in earnest.
v. t.
To associate intimately with.
n.
The mast nearest the bow.
a.
Nearest on this side.
n.
One entitled to, or exhibiting, neighborly kindness; hence, one of the human race; a fellow being.
n.
The state of being neighbors.
a.
Nearest the stern.
a.
Ardent in the pursuit of an object; eager to obtain or do; zealous with sincerity; with hearty endeavor; heartfelt; fervent; hearty; -- used in a good sense; as, earnest prayers.
v. i.
To dwell in the vicinity; to be a neighbor, or in the neighborhood; to be near.
a. superl.
Nearest the stern; most aft.
n. pl.
The nostrils or nasal openings, -- the anterior nares being the external or proper nostrils, and the posterior nares, the openings of the nasal cavities into the mouth or pharynx.
a.
Intent; fixed closely; as, earnest attention.
n.
One who is near in sympathy or confidence.
a.
Nearest; next immediately preceding or following.
imp. & p. p.
of neighbor
v. t.
To adjoin; to border on; tobe near to.