6 citations · 9 across the 5 of their papers we have counts for
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cs.LG2023
Impossibility of Depth Reduction in Explainable Clustering
Chengyuan Deng, Surya Teja Gavva, Karthik C. S. +2
Over the last few years Explainable Clustering has gathered a lot of attention. Dasgupta et al. [ICML'20] initiated the study of explainable -means and -median clustering pro…
cs.LG2017★ 1 cited
Fast k-means based on KNN Graph
Cheng-Hao Deng, Wan-Lei Zhao
In the era of big data, k-means clustering has been widely adopted as a basic processing tool in various contexts. However, its computational cost could be prohibitively high as th…
cs.LG2016★ 1 cited
Boost K-Means
Wan-Lei Zhao, Cheng-Hao Deng, Chong-Wah Ngo
Due to its simplicity and versatility, k-means remains popular since it was proposed three decades ago. The performance of k-means has been enhanced from different perspectives ove…