2 papers
cs.LG2023
Randomized Greedy Algorithms and Composable Coreset for k-Center Clustering with Outliers
Hu Ding, Ruomin Huang, Kai Liu +2
In this paper, we study the problem of {\em -center clustering with outliers}. The problem has many important applications in real world, but the presence of outliers can signif…
cs.DS2019
The Effectiveness of Uniform Sampling for Center-Based Clustering with Outliers
Hu Ding, Jiawei Huang, Haikuo Yu
Clustering has many important applications in computer science, but real-world datasets often contain outliers. Moreover, the presence of outliers can make the clustering problems…