Title
The power of local search for clustering.
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 spaces 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 $p$-th 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 $1/epsilon^{O(1)}$ centers.
Year
Venue
Field
2016
arXiv: Data Structures and Algorithms
Discrete mathematics,Graph,Combinatorics,Facility location problem,Local search (optimization),Euclidean geometry,Cluster analysis,Mathematics,Planar graph,Bounded function
DocType
Volume
Citations 
Journal
abs/1603.09535
3
PageRank 
References 
Authors
0.38
16
3
Name
Order
Citations
PageRank
Vincent Cohen-Addad18525.47
Philip N. Klein22681256.19
Claire Mathieu362.78