Metric \(k\)-median clustering in insertion-only streams
From MaRDI portal
Publication:2231758
DOI10.1016/j.dam.2021.07.025OpenAlexW3190440158MaRDI QIDQ2231758
Harry Lang, Keith Levin, Yevgeniy Rudoy, Vladimir Braverman
Publication date: 30 September 2021
Published in: Discrete Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.dam.2021.07.025
Cites Work
- Unnamed Item
- Smaller coresets for \(k\)-median and \(k\)-means clustering
- BICO: BIRCH Meets Coresets for k-Means Clustering
- On Coresets for k-Median and k-Means Clustering in Metric and Euclidean Spaces and Their Applications
- Approximate clustering via core-sets
- On coresets for k-means and k-median clustering
- Better streaming algorithms for clustering problems
- Decomposable searching problems I. Static-to-dynamic transformation
- Local Search Heuristics for k-Median and Facility Location Problems
- An Improved Approximation for k-median, and Positive Correlation in Budgeted Optimization
- A unified framework for approximating and clustering data
This page was built for publication: Metric \(k\)-median clustering in insertion-only streams