Local Search Yields Approximation Schemes for $k$-Means and $k$-Median in Euclidean and Minor-Free Metrics
From MaRDI portal
Publication:4634032
DOI10.1137/17M112717XzbMath1421.68205arXiv1603.09535OpenAlexW2943587448MaRDI QIDQ4634032
Claire Mathieu, Vincent Cohen-Addad, Philip N. Klein
Publication date: 7 May 2019
Published in: SIAM Journal on Computing (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1603.09535
approximation schemesfacility locationplanar graph\(k\)-meansEuclidean metric\(k\)-medianminor-free graphs
Graph theory (including graph drawing) in computer science (68R10) Approximation methods and heuristics in mathematical programming (90C59) Discrete location and assignment (90B80) Approximation algorithms (68W25)
Related Items
A refined approximation for Euclidean \(k\)-means ⋮ An improved approximation algorithm for capacitated correlation clustering problem ⋮ An improved approximation algorithm for squared metric \(k\)-facility location ⋮ Unnamed Item ⋮ An improved \((1+1)\) evolutionary algorithm for \(k\)-Median clustering problem with performance guarantee ⋮ An exact algorithm for stable instances of the \(k\)-means problem with penalties in fixed-dimensional Euclidean space ⋮ On the geometric set multicover problem ⋮ Better guarantees for \(k\)-median with service installation costs ⋮ Improved PTAS for the constrained \(k\)-means problem ⋮ Unnamed Item ⋮ Secure delegated quantum algorithms for solving Mahalanobis distance ⋮ Constructing planar support for non-piercing regions ⋮ Quantum algorithms for similarity measurement based on Euclidean distance ⋮ A constant FPT approximation algorithm for hard-capacitated \(k\)-means ⋮ A Streaming Algorithm for k-Means with Approximate Coreset ⋮ Polynomial time approximation schemes for clustering in low highway dimension graphs ⋮ Turning Big Data Into Tiny Data: Constant-Size Coresets for $k$-Means, PCA, and Projective Clustering ⋮ Polynomial-Time Approximation Schemes for k-center, k-median, and Capacitated Vehicle Routing in Bounded Highway Dimension ⋮ Lossy kernelization of same-size clustering ⋮ Local search strikes again: PTAS for variants of geometric covering and packing ⋮ The seeding algorithm for spherical \(k\)-means clustering with penalties ⋮ Stability and Recovery for Independence Systems ⋮ Lossy kernelization of same-size clustering
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Approximation algorithms for maximum independent set of pseudo-disks
- A local search approximation algorithm for \(k\)-means clustering
- Smaller coresets for \(k\)-median and \(k\)-means clustering
- A 1.488 approximation algorithm for the uncapacitated facility location problem
- Approximating $k$-Median via Pseudo-Approximation
- Are Stable Instances Easy?
- Improved Spectral-Norm Bounds for Clustering
- A Nearly Linear-Time Approximation Scheme for the Euclidean k-Median Problem
- Approximation algorithms for metric facility location and k -Median problems using the primal-dual schema and Lagrangian relaxation
- Worst-Case and Smoothed Analysis of the ICP Algorithm, with an Application to the k-Means Method
- Linear-time approximation schemes for clustering problems in any dimensions
- A new greedy approach for facility location problems
- Approximate clustering via core-sets
- On coresets for k-means and k-median clustering
- A PTAS for k-means clustering based on weak coresets
- Fast Algorithms for Shortest Paths in Planar Graphs, with Applications
- Heuristics for the fixed cost median problem
- Greedy Strikes Back: Improved Facility Location Algorithms
- Approximation algorithms for NP-complete problems on planar graphs
- Analysis of a Local Search Heuristic for Facility Location Problems
- Approximation Algorithms for Polynomial-Expansion and Low-Density Graphs
- Local Search Yields a PTAS for $k$-Means in Doubling Metrics
- Approximate Clustering via Metric Partitioning
- Local Search Heuristics for k-Median and Facility Location Problems
- Improved Combinatorial Algorithms for Facility Location Problems
- An Improved Approximation for k-median, and Positive Correlation in Budgeted Optimization
- Smoothed Analysis of the k-Means Method
- The effectiveness of lloyd-type methods for the k-means problem
- A unified framework for approximating and clustering data
- Clustering under Perturbation Resilience