2 papers
cs.DS2023★ 1 cited
PECANN: Parallel Efficient Clustering with Graph-Based Approximate Nearest Neighbor Search
Shangdi Yu, Joshua Engels, Yihao Huang +1
This paper studies density-based clustering of point sets. These methods use dense regions of points to detect clusters of arbitrary shapes. In particular, we study variants of den…
cs.DC2023★ 1 cited
Faster Parallel Exact Density Peaks Clustering
Yihao Huang, Shangdi Yu, Julian Shun
Clustering multidimensional points is a fundamental data mining task, with applications in many fields, such as astronomy, neuroscience, bioinformatics, and computer vision. The go…