Xiaohui Chen

activity

20182024

K

-means for clustering probability distributions

5 citations · 6 across the 3 of their papers we have counts for

collaborators

Showing 2022Show all

2 papers · 1 filter

stat.ML2022★ 5 cited

Wasserstein $K$ -means for clustering probability distributions

Yubo Zhuang, Xiaohui Chen, Yun Yang

Clustering is an important exploratory data analysis technique to group objects based on their similarity. The widely used $K$ -means clustering method relies on some notion of dist…

stat.ML2022★ 1 cited

Sketch-and-Lift: Scalable Subsampled Semidefinite Program for $K$ -means Clustering

Yubo Zhuang, Xiaohui Chen, Yun Yang

Semidefinite programming (SDP) is a powerful tool for tackling a wide range of computationally hard problems such as clustering. Despite the high accuracy, semidefinite programs ar…

Wasserstein K-means for clustering probability distributions

Sketch-and-Lift: Scalable Subsampled Semidefinite Program for K-means Clustering

Wasserstein $K$ -means for clustering probability distributions

Sketch-and-Lift: Scalable Subsampled Semidefinite Program for $K$ -means Clustering