K Approximate Nearest Neighbors Search: Difference between revisions
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(Created page with "{{DISPLAYTITLE:k Approximate Nearest Neighbors Search (Nearest Neighbor Search)}} == Description == Within a dataset of $n$ points, find approximately the $k$ closest points to a specified point. == Related Problems == Generalizations: k Nearest Neighbors Search == Parameters == <pre>n: number of points in dataset k: number of neighbors to find</pre> == Table of Algorithms == Currently no algorithms in our database for the given problem.") |
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Generalizations: [[k Nearest Neighbors Search]] | Generalizations: [[k Nearest Neighbors Search]] | ||
Subproblem: [[k-ANNS for a dense 3D map of geometric points]] | |||
== Parameters == | == Parameters == | ||
$n$: number of points in dataset | |||
k: number of neighbors to find | |||
$k$: number of neighbors to find | |||
== Table of Algorithms == | == Table of Algorithms == | ||
Currently no algorithms in our database for the given problem. | Currently no algorithms in our database for the given problem. | ||
Latest revision as of 07:52, 10 April 2023
Description
Within a dataset of $n$ points, find approximately the $k$ closest points to a specified point.
Related Problems
Generalizations: k Nearest Neighbors Search
Subproblem: k-ANNS for a dense 3D map of geometric points
Parameters
$n$: number of points in dataset
$k$: number of neighbors to find
Table of Algorithms
Currently no algorithms in our database for the given problem.