Abstract | ||
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Let P be a set of points on the plane, and d(p, q) be the distance between a pair of points p, q in P. For a point p. P and a subset S subset of P with vertical bar S vertical bar >= 3, the 2-dispersion cost, denoted by cost(2)( p, S), of p with respect to S is the sum of (1) the distance from p to the nearest point in S\{p} and (2) the distance from p to the second nearest point in S\{p}. The 2-dispersion cost cost(2)(S) of S subset of P with vertical bar S vertical bar >= 3 is min(p is an element of S) {cost(2)( p, S)}. Given a set P of n points and an integer k we wish to compute k point subset S of P with maximum cost(2)(S). In this paper we give a simple 1/(4 root 3) approximation algorithm for the problem. |
Year | DOI | Venue |
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2020 | 10.1587/transinf.2019FCP0005 | IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS |
Keywords | Field | DocType |
dispersion problem, approximation algorithm | Approximation algorithm,Dispersion (optics),Computer vision,Computer science,Algorithm,Artificial intelligence | Journal |
Volume | Issue | ISSN |
E103D | 3 | 1745-1361 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kazuyuki Amano | 1 | 31 | 4.60 |
Shin-ichi Nakano | 2 | 246 | 24.40 |