Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/329853
Type: Artigo
Title: Clustering Through Continuous Facility Location Problems
Author: Meira
Luis A. A.; Miyazawa
Flavio K.; Pedrosa
Lehilton L. C.
Abstract: We consider the Continuous Facility Location Problem (ConFLP). Given a finite set of clients C subset of R-d and a number f is an element of R+, ConFLP consists in opening a set F' subset of R-d of facilities, each at cost f, and connecting each client to an open facility. The objective is to minimize the costs of opening facilities and connecting clients. We reduce ConFLP to the standard Facility Location Problem (FLP), by using the so-called approximate center sets. This reduction preserves the approximation, except for an error epsilon, and implies 1.488 + epsilon and 2.04 + epsilon-approximations when the connection cost is given by the Euclidean distance and the squared Euclidean distance, respectively. Moreover, we obtain approximate center sets for the case that the connection cost is the ath power of the Euclidean distance, achieving approximations for the corresponding problems, for any alpha >= 1. As a byproduct, we also obtain a polynomial-time approximation scheme for the k-median problem with this cost function, for any fixed k. (C) 2016 Elsevier B.V. All rights reserved.
Subject: Continuous Facility Location Problem
K-clustering
Approximate Center Sets
Random Sampling Procedure
Approximation Algorithms
Editor: Elsevier Science BV
Amsterdam
Rights: fechado
Identifier DOI: 10.1016/j.tcs.2016.10.001
Address: http://www-sciencedirect-com.ez88.periodicos.capes.gov.br/science/article/pii/S030439751630514X?via%3Dihub
Date Issue: 2017
Appears in Collections:Unicamp - Artigos e Outros Documentos

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