@article {
author = {Rahmati, Zahed},
title = {Approximate $k$-nearest neighbor graph on moving points},
journal = {Transactions on Combinatorics},
volume = {12},
number = {2},
pages = {65-72},
year = {2023},
publisher = {University of Isfahan},
issn = {2251-8657},
eissn = {2251-8665},
doi = {10.22108/toc.2022.130533.1943},
abstract = {In this paper, we introduce an approximation for the $k$-nearest neighbor graph ($k$-NNG) on a point set $P$ in $\mathbb{R}^d$. For any given $\varepsilon>0$, we construct a graph, that we call the \emph{approximate $k$-NNG}, where the edge with the $i$th smallest length incident to a point $p$ in this graph is within a factor of $(1+\varepsilon)$ of the length of the edge with the $i$th smallest length incident to $p$ in the $k$-NNG. For a set $P$ of $n$ moving points in $\mathbb{R}^d$, where the trajectory of each point $p\in P$ is given by $d$ polynomial functions of constant bounded degree, where each function gives one of the $d$ coordinates of $p$, we compute the number of combinatorial changes to the approximate $k$-NNG, and provide a kinetic data structure (KDS) for maintenance of the edges of the approximate $k$-NNG over time. Our KDS processes $O(kn^2\log^{d+1} n)$ events, each in time $O(\log^{d+1}n)$.},
keywords = {approximation,$k$-Nearest Neighbor Graph,Moving Points},
url = {https://toc.ui.ac.ir/article_26356.html},
eprint = {https://toc.ui.ac.ir/article_26356_e43137e88ed08bf405990ce3538fd339.pdf}
}