LOCAL SEARCH YIELDS APPROXIMATION SCHEMES FOR k-MEANS AND k-MEDIAN IN EUCLIDEAN AND MINOR-FREE METRICS

被引:42
作者
Cohen-Addad, Vincent [1 ]
Klein, Philip N. [2 ]
Mathieu, Claire [3 ]
机构
[1] Sorbonne Univ, LIP6, F-75252 Paris 05, France
[2] Brown Univ, Dept Comp Sci, Providence, RI 02912 USA
[3] Ecole Normale Super, Dept Informat, F-75001 Paris, France
关键词
approximation schemes; k-means; k-median; facility location; Euclidean metric; planar graph; minor-free graphs; FACILITY LOCATION; ALGORITHMS; HEURISTICS;
D O I
10.1137/17M112717X
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
We give the first polynomial-time approximation schemes (PTASs) for the following problems: (1) uniform facility location in edge-weighted planar graphs; (2) k-median and k-means in edge-weighted planar graphs; and (3) k-means in Euclidean space of bounded dimension. Our first and second results extend to minor-closed families of graphs. All our results extend to cost functions that are the pth power of the shortest-path distance. The algorithm is local search, where the local neighborhood of a solution S consists of all solutions obtained from S by removing and adding 1/epsilon(Theta(1)) centers.
引用
收藏
页码:644 / 667
页数:24
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