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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://dirros.openscience.si/IzpisGradiva.php?id=18407"><dc:title>Faster distance-based representative skyline and k-center along pareto front in the plane</dc:title><dc:creator>Cabello,	Sergio	(Avtor)
	</dc:creator><dc:subject>geometric optimization</dc:subject><dc:subject>skyline</dc:subject><dc:subject>pareto front</dc:subject><dc:subject>clustering</dc:subject><dc:subject>k-center</dc:subject><dc:description>We consider the problem of computing the distance-based representative skyline in the plane, a problem introduced by Tao, Ding, Lin and Pei and independently considered by Dupin, Nielsen and Talbi in the context of multi-objective optimization. Given a set $P$ of $n$ points in the plane and a parameter $k$, the task is to select $k$ points of the skyline defined by $P$ (also known as Pareto front for $P$) to minimize the maximum distance from the points of the skyline to the selected points. We show that the problem can be solved in $O(n \log h)$ time, where $h$ is the number of points in the skyline of $P$. We also show that the decision problem can be solved in $O(n \log k)$ time and the optimization problem can be solved in $O(n \log k + n \log\log n)$ time. This improves previous algorithms and is optimal for a large range of values of $k$.</dc:description><dc:date>2023</dc:date><dc:date>2024-03-15 09:17:04</dc:date><dc:type>Neznano</dc:type><dc:identifier>18407</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
