Approximating $k$-Median via Pseudo-Approximation

From MaRDI portal
Publication:2805513

DOI10.1137/130938645zbMath1338.90346arXiv1211.0243OpenAlexW2343942810MaRDI QIDQ2805513

Shi Li, Ola Svensson

Publication date: 12 May 2016

Published in: SIAM Journal on Computing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1211.0243




Related Items (37)

An improved approximation algorithm for capacitated correlation clustering problemAn improved approximation algorithm for squared metric \(k\)-facility locationImproved parameterized approximation for balanced \(k\)-medianA lower bound for metric 1-median selectionAn improved \((1+1)\) evolutionary algorithm for \(k\)-Median clustering problem with performance guaranteeApproximation algorithms for clustering with dynamic pointsSolving the \(p\)-median problem on regular and lattice networksThe distance-constrained matroid median problemOn clustering with discountsBetter guarantees for \(k\)-median with service installation costsLocal search approximation algorithms for the \(k\)-means problem with penaltiesA Branch Decomposition Algorithm for the p-Median ProblemUnnamed ItemUnnamed ItemA local search approximation algorithm for the uniform capacitated \(k\)-facility location problemBetter Guarantees for $k$-Means and Euclidean $k$-Median by Primal-Dual AlgorithmsApproximation algorithms for spherical \(k\)-means problem using local search schemeIterative partial rounding for vertex cover with hard capacitiesKantorovich–Rubinstein Distance Minimization: Application to Location ProblemsLocal Search Yields Approximation Schemes for $k$-Means and $k$-Median in Euclidean and Minor-Free MetricsOn the cost of essentially fair clusteringsA unified framework of FPT approximation algorithms for clustering problemsFaster balanced clusterings in high dimensionApproximation algorithms for the lower-bounded \(k\)-median and its generalizationsLossy kernelization of same-size clusteringUnnamed ItemA local search approximation algorithm for a squared metric \(k\)-facility location problemApproximation algorithms for the lower-bounded knapsack median problemApproximation Algorithms for Distributed Multi-robot Coverage in Non-convex EnvironmentsThe ordered \(k\)-median problem: surrogate models and approximation algorithmsAn approximation algorithm for stochastic multi-level facility location problem with soft capacitiesLossy kernelization of same-size clusteringHidden Integrality and Semirandom Robustness of SDP Relaxation for Sub-Gaussian Mixture ModelImproved approximation algorithms for solving the squared metric \(k\)-facility location problemOn parameterized approximation algorithms for balanced clusteringProblem-based optimal scenario generation and reduction in stochastic programmingScenario reduction revisited: fundamental limits and guarantees



Cites Work


This page was built for publication: Approximating $k$-Median via Pseudo-Approximation