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Iterative closest point (ICP) is a point cloud registration algorithm employed to minimize the difference between two clouds of points. ICP is often used...

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

the Gauss–Newton algorithm it often converges faster than first-order methods. However, like other iterative optimization algorithms, the LMA finds only...

classification – see k-nearest neighbor algorithm Computer vision – for point cloud registration Computational geometry – see Closest pair of points problem Cryptanalysis...

bound for linear codes, the codes were largely ignored as their iterative decoding algorithm was prohibitively computationally expensive for the hardware...

In numerical analysis, inverse iteration (also known as the inverse power method) is an iterative eigenvalue algorithm. It allows one to find an approximate...

of a newly found path. However, Dijkstra's algorithm uses a priority queue to greedily select the closest vertex that has not yet been processed, and...

the class of the closest training sample (i.e. when k = 1) is called the nearest neighbor algorithm. The accuracy of the k-NN algorithm can be severely...

Problem Solver: a seminal theorem-proving algorithm intended to work as a universal problem solver machine. Iterative deepening depth-first search (IDDFS):...

algorithm will always correctly determine the closest pair, because it maps any pair closer than distance d {\displaystyle d} to the same grid point or...

The iterative closest point algorithm minimizes the distances between the points of two pointclouds. It can be used for determining if one PointCloud...

for the registration of multiple range maps based on the iterative closest point algorithm. MeshLab also includes an interactive direct paint-on-mesh...

makes use of Johnson's distance sub algorithm, which computes in the general case the point of a tetrahedron closest to the origin, but is known to suffer...

implement any of above KMedoids algorithms. Instead, it is a k-means variant, that substitutes the mean with the closest data point (which is not the medoid)...

on the point cloud data, TEASER's estimated transformation has bounded errors from the ground-truth transformation. The iterative closest point (ICP) algorithm...

with floating-point numbers, a divide-and-conquer algorithm may yield more accurate results than a superficially equivalent iterative method. For example...

with other point clouds, a process termed point set registration. The Iterative closest point (ICP) algorithm can be used to align two point clouds that...

Lloyd–Forgy algorithm. The most common algorithm uses an iterative refinement technique. Due to its ubiquity, it is often called "the k-means algorithm"; it...

The iterative proportional fitting procedure (IPF or IPFP, also known as biproportional fitting or biproportion in statistics or economics (input-output...

technique which belongs to the family of local search. It is an iterative algorithm that starts with an arbitrary solution to a problem, then attempts...