most citedTowards Metric DBSCAN: Exact, Approximate, and Streaming Algorithms

7 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CG2026

The Stretch Factor of Planar Delaunay Triangulations Is Less Than 1.5949

Guanlin Mo, Kangke Cheng, Hu Ding

Delaunay triangulations are the classical plane spanners: the shortest path between two vertices is at most a constant times as long as the segment between them. Determining the sm…

cs.CG2026

A Tight 3-Approximation for Fair -Means

Kangke Cheng, Guanlin Mo, Shihong Song +1

Fairness in clustering has attracted sustained research interest, motivated by the need to ensure equitable representation of protected groups in machine learning applications. We…

cs.DS2026

Sample-and-Search: An Effective Algorithm for Learning-Augmented k-Median Clustering in High dimensions

Kangke Cheng, Shihong Song, Guanlin Mo +1

In this paper, we investigate the learning-augmented -median clustering problem, which aims to improve the performance of traditional clustering algorithms by preprocessing the…

cs.LG2024

Relax and Merge: A Simple Yet Effective Framework for Solving Fair -Means and -sparse Wasserstein Barycenter Problems

Shihong Song, Guanlin Mo, Qingyuan Yang +1

The fairness of clustering algorithms has gained widespread attention across various areas, including machine learning, In this paper, we study fair -means clustering in Euclide…

cs.DS2024★ 7 cited

Towards Metric DBSCAN: Exact, Approximate, and Streaming Algorithms

Guanlin Mo, Shihong Song, Hu Ding

DBSCAN is a popular density-based clustering algorithm that has many different applications in practice. However, the running time of DBSCAN in high-dimensional space or general me…