Computing the k Nearest-Neighbors for all Vertices via Dijkstra

July 26, 2016 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Sariel Har-Peled arXiv ID 1607.07818 Category cs.DS: Data Structures & Algorithms Citations 8 Venue arXiv.org Last Checked 4 months ago
Abstract
We are given a directed graph $G = (V,E)$ with $n$ vertices and $m$ edges, with positive weights on the edges, and a parameter $k >0$. We show how to compute, for every vertex $v \in V$, its $k$ nearest-neighbors. The algorithm runs in $O( k ( n \log n + m ) )$ time, and follows by a somewhat careful modification of Dijkstra's shortest path algorithm. This result is probably folklore, but we were unable to find a reference to it -- thus, this note.
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