and computer science, Lloyd's algorithm, also known as Voronoi iteration or relaxation, is an algorithm named after Stuart P. Lloyd for finding evenly spaced...

its ubiquity, it is often called "the k-means algorithm"; it is also referred to as Lloyd's algorithm, particularly in the computer science community...

(training set), such that it will be locally optimal. It combines Lloyd's Algorithm with a splitting technique in which larger codebooks are built from...

well-known approximate method is Lloyd's algorithm, often just referred to as "k-means algorithm" (although another algorithm introduced this name). It does...

analysis Hamming bound – sphere-packing bound Linde–Buzo–Gray algorithm Lloyd's algorithm – Voronoi iteration Meyer set Pisot–Vijayaraghavan number Pitteway...

medoids as centers Linde–Buzo–Gray algorithm: a vector quantization algorithm to derive a good codebook Lloyd's algorithm (Voronoi iteration or relaxation):...

The Harrow–Hassidim–Lloyd (HHL) algorithm is a quantum algorithm for numerically solving a system of linear equations, designed by Aram Harrow, Avinatan...

Gale–Shapley algorithm (also known as the deferred acceptance algorithm, propose-and-reject algorithm, or Boston Pool algorithm) is an algorithm for finding...

for use on commodity graphics hardware. Lloyd's algorithm and its generalization via the Linde–Buzo–Gray algorithm (aka k-means clustering) use the construction...

image-to-image translation. Subtopics Linde–Buzo–Gray algorithm (LBG) Learning vector quantization Lloyd's algorithm Growing Neural Gas, a neural network-like system...

of generators. A number of algorithms can be used to generate centroidal Voronoi tessellations, including Lloyd's algorithm for K-means clustering or Quasi-Newton...

called Lloyd's algorithm or the k-means algorithm) is used widely and frequently finds reasonable solutions quickly. However, the k-means algorithm has at...

In quantum computing, a quantum algorithm is an algorithm that runs on a realistic model of quantum computation, the most commonly used model being the...

developing practical algorithms for k-means clustering, a problem known to be NP-hard. The most common algorithm used is Lloyd's algorithm, which is heuristic...

machine precision. The Baum–Welch algorithm was named after its inventors Leonard E. Baum and Lloyd R. Welch. The algorithm and the Hidden Markov models were...

this is an NP-hard problem requiring heuristic solutions such as Lloyd's algorithm, but in a network space it can be solved deterministically. Particular...

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of points (e.g., customer locations). A commonly used example is Lloyd's algorithm. Distance matrix, an array containing the distances (Euclidean or...

differs in the choice of which Voronoi vertex to insert at each step. Lloyd's algorithm, a different method for generating evenly spaced points in geometric...

same duality can also be used in finite element mesh generation. Lloyd's algorithm, a method based on Voronoi diagrams for moving a set of points on...

popular for quadrilateral meshes, for which other methods such as Lloyd's algorithm for triangular mesh smoothing are less applicable. In this method...

with small pairwise distances between points in the same cluster. Lloyd's algorithm is widely used and very fast in practice, although it can take e Ω...

The quantum least-squares fitting algorithm makes use of a version of Harrow, Hassidim, and Lloyd's quantum algorithm for linear systems of equations (HHL)...

In numerical linear algebra, the QR algorithm or QR iteration is an eigenvalue algorithm: that is, a procedure to calculate the eigenvalues and eigenvectors...

In numerical analysis, the Kahan summation algorithm, also known as compensated summation, significantly reduces the numerical error in the total obtained...

1996, Grover's algorithm established a quantum speedup for the widely applicable unstructured search problem. The same year, Seth Lloyd proved that quantum...

(TTC) is an algorithm for trading indivisible items without using money. It was developed by David Gale and published by Herbert Scarf and Lloyd Shapley.: 30–31 ...

a_{j}} to F l {\displaystyle F_{l}} . The algorithm is similar to the k-means algorithm (i.e. Lloyd's algorithm) in that it alternates between cluster assignment...

component of the underlying undirected graph. Fleury's algorithm is an elegant but inefficient algorithm that dates to 1883. Consider a graph known to have...

locales Leukaemia & Lymphoma Research Lloyd's Law Reports Log-likelihood ratio Lucas–Lehmer–Riesel test, an algorithm to find the primality of a number of...