Title
On Finding Non-dominated Points using Compact Voronoi Diagrams
Abstract
We discuss in this paper a method of finding skyline or non-dominated points in a set $P$ of $n_P$ points with respect to a set $S$ of $n_S$ sites. A point $p_i \in P$ is non-dominated if and only if for each $p_j \in P$, $j \not= i$, there exists at least one point $s \in S$ that is closer to $p_i$ than $p_j$. We reduce this problem of determining non-dominated points to the problem of finding sites that have non-empty cells in an additive Voronoi diagram with a convex distance function. The weights of the additive Voronoi diagram are derived from the co-ordinates of the points of $P$ and the convex distance function is derived from $S$. In the 2-dimensional plane, this reduction gives a $O((n_S + n_P)\log n_S + n_P \log n_P)$-time randomized incremental algorithm to find the non-dominated points.
Year
Venue
Keywords
2009
Clinical Orthopaedics and Related Research
distance function,data structure,2 dimensional,computational geometry,voronoi diagram
Field
DocType
Volume
Skyline,Discrete mathematics,Binary logarithm,Power diagram,Combinatorics,Voronoi diagram,Weighted Voronoi diagram,Mathematics,Convex distance function
Journal
abs/0909.0
Citations 
PageRank 
References 
0
0.34
6
Authors
6
Name
Order
Citations
PageRank
Binay K. Bhattacharya133249.20
Arijit Bishnu213422.25
Otfried Cheong359460.27
Sandip Das425648.78
Arindam Karmakar5205.92
Jack Snoeyink62842231.68