Local Search Yields Approximation Schemes for k-Means and k-Median in Euclidean and Minor-Free Metrics

Vincent Cohen-Addad, P. Klein, Claire Mathieu
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引用次数: 128

Abstract

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, (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/εO(1) centers.
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局部搜索给出欧几里得和次要自由度量中k-均值和k-中值的近似格式
针对以下问题,给出了第一类多项式时间逼近格式:(1)边加权平面图中设施的均匀定位;(2)边加权平面图中的k-中值和k-均值;(3)有界欧几里得空间中的k-均值。我们的第一和第二个结果推广到图的小闭族。我们所有的结果都延伸到最短路径距离的p次方的代价函数。该算法是局部搜索算法,其中解S的局部邻域由通过去除和添加1/εO(1)个中心从S中得到的所有解组成。
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