Research map / Learning theory and algorithms / Clustering
Sample-and-Search: An Effective Algorithm for Learning-Augmented k-Median Clustering in High Dimensions
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Improved Learning-augmented Algorithms for k-means and k-medians Clustering (ICLR 2023 · similarity 0.94)
- Learning-Augmented Algorithms for $k$-median via Online Learning (NeurIPS 2025 · similarity 0.92)
- Average Sensitivity of Hierarchical $k$-Median Clustering (ICML 2025 · similarity 0.90)
- Learning-Augmented Hierarchical Clustering (ICML 2025 · similarity 0.88)
- Dynamic Algorithm for Explainable $k$-medians Clustering under $\ell_p$ Norm (NeurIPS 2025 · similarity 0.87)
- Efficient Constrained K-center Clustering with Background Knowledge (AAAI 2024 · similarity 0.86)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
