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cs.DC2024
The ParClusterers Benchmark Suite (PCBS): A Fine-Grained Analysis of Scalable Graph Clustering
Shangdi Yu, Jessica Shi, Jamison Meindl +7
We introduce the ParClusterers Benchmark Suite (PCBS) -- a collection of highly scalable parallel graph clustering algorithms and benchmarking tools that streamline comparing diffe…
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…
cs.DC2023
Parallel Filtered Graphs for Hierarchical Clustering
Shangdi Yu, Julian Shun
Given all pairwise weights (distances) among a set of objects, filtered graphs provide a sparse representation by only keeping an important subset of weights. Such graphs can be pa…