Improved Bi-point Rounding Algorithms and a Golden Barrier for k-Median
Kishen N. Gowda, Thomas W. Pensyl, Aravind Srinivasan, Khoa Trinh
摘要
The current best approximation algorithms for k-median rely on first obtaining a structured fractional solution known as a bi-point solution, and then rounding it to an integer solution. We improve this second step by unifying and refining previous approaches. We describe a hierarchy of increasinglycomplex partitioning schemes for the facilities, along with corresponding sets of algorithms and factor-revealing non-linear programs. We prove that the third layer of this hierarchy is a 2.613approximation, improving upon the current best ratio of 2.675, while no layer can be proved better than 2.588 under the proposed analysis. On the negative side, we give a family of bi-point solutions which cannot be approximated better than the square root of the golden ratio, even if allowed to open k + o(k) facilities. This gives a barrier to current approaches for obtaining an approximation better than 2 √ φ ≈ 2.544. Altogether we reduce the approximation gap of bi-point solutions by two thirds.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper9
- Parameterized Approximation Algorithms for Sum of Radii Clustering and VariantsXianrun Chen, Dachuan Xu, Yicheng Xu, Yong ZhangAAAI 2024 · 被引用 17 次
- Parameterized Approximation Schemes for Fair-Range ClusteringZhen Zhang, Xiaohong Chen, Limei Liu, Jie Chen 等NeurIPS 2024 · 被引用 9 次
- Low-Distortion Clustering with Ordinal and Limited Cardinal InformationJakob Burkhardt, Ioannis Caragiannis, Karl Fehrs, Matteo Russo 等AAAI 2024 · 被引用 8 次
- Deterministic Clustering in High Dimensional Spaces: Sketches and ApproximationVincent Cohen-Addad, David Saulpic, Chris SchwiegelshohnFOCS 2023 · 被引用 3 次
- An Improved Greedy Approximation for (Metric) k-MeansMoses Charikar, Vincent Cohen-Addad, Ruiquan Gao, Fabrizio Grandoni 等FOCS 2025 · 被引用 2 次
它引用的顶会 Paper2
- Breaching the 2 LMP Approximation Barrier for Facility Location with Applications to k-MedianVincent Cohen-Addad, Fabrizio Grandoni, Euiwoong Lee, Chris SchwiegelshohnSODA 2023 · 被引用 16 次
- An Improved Local Search Algorithm for k-MedianVincent Cohen-Addad, Anupam Gupta, Lunjia Hu, Hoon Oh 等SODA 2022 · 被引用 14 次
相关 Paper
- A (2+ε)-Approximation Algorithm for Metric k-MedianVincent Cohen-Addad, Fabrizio Grandoni, Euiwoong Lee, Chris Schwiegelshohn 等STOC 2025 · 被引用 1 次
- A (4+ϵ)-Approximation for Euclidean k-Means via Non-monotone Dual-FittingMoses Charikar, Vincent Cohen-Addad, Ruiquan Gao, Fabrizio Grandoni 等STOC 2026 · 被引用 3 次
- Towards a Theoretical Understanding of Why Local Search Works for Clustering with Fair-Center RepresentationZhen Zhang, Junfeng Yang, Limei Liu, Xuesong Xu 等AAAI 2024 · 被引用 5 次
- A (3 + ɛ)-approximation algorithm for the minimum sum of radii problem with outliers and extensions for generalized lower boundsMoritz Buchem, Katja Ettmayr, Hugo K. K. Rosado, Andreas WieseSODA 2024 · 被引用 4 次
- Improved Approximation Algorithms for Multiway Cut by Large Mixtures of New and Old Rounding SchemesJoshua Brakensiek, Neng Huang, Aaron Potechin, Uri ZwickSTOC 2026
