Skip to content
conftrace_

k-center clustering

25 papers

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