Co-occurring keywords · papers mentioning both
Papers
Approximation Algorithm for Constrained k-Center Clustering: A Local Search Approach
AAAI 2026
Improved Streaming Algorithm for Fair k-Center Clustering
AAAI 2026
Almost Optimal Fully Dynamic k-Center Clustering with Recourse
ICML 2025
Fully-Scalable Massively Parallel Algorithm for k-center with Outliers
AAAI 2025
Efficient Constrained K-center Clustering with Background Knowledge
AAAI 2024
Fair k-center Clustering with Outliers
AISTATS 2024
Improved Guarantees for Fully Dynamic k-Center Clustering with Outliers in General Metric Spaces
NeurIPS 2024
Parameterized Approximation Algorithms for Sum of Radii Clustering and Variants
AAAI 2024
Faster Query Times for Fully Dynamic k-Center Clustering with Outliers
NeurIPS 2023
Scalable and Globally Optimal Generalized L₁ K-center Clustering via Constraint Generation in Mixed Integer Linear Programming
AAAI 2023
Fair and Fast k-Center Clustering for Data Summarization
ICML 2022
Global Optimization of K-Center Clustering
ICML 2022
Parameterized Approximation Algorithms for K-center Clustering and Variants
AAAI 2022
Sublinear time algorithms for greedy selection in high dimensions
UAI 2022
Extreme k-Center Clustering
AAAI 2021
A Pairwise Fair and Community-preserving Approach to k-Center Clustering
ICML 2020
Fair Correlation Clustering
AISTATS 2020
How to Solve Fair k-Center in Massive Data Models
ICML 2020
KFC: A Scalable Approximation Algorithm for k−center Fair Clustering
NeurIPS 2020
On Metric DBSCAN with Low Doubling Dimension
IJCAI 2020
Fair k-Center Clustering for Data Summarization
ICML 2019
Greedy Sampling for Approximate Clustering in the Presence of Outliers
NeurIPS 2019
High Dimensional Clustering with r-nets
AAAI 2019
Fast Distributed k-Center Clustering with Outliers on Massive Data
NeurIPS 2015
Distributed Balanced Clustering via Mapping Coresets
NeurIPS 2014