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

2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS)(2016)

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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, (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/ε O(1) centers.
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关键词
approximation schemes,k-means,k-median,facility location,Euclidean metric,planar graph,minor-free graphs
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