3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.DS2025
Learning-Augmented Hierarchical Clustering
Vladimir Braverman, Jon C. Ergun, Chen Wang +1
Hierarchical clustering (HC) is an important data analysis technique in which the goal is to recursively partition a dataset into a tree-like structure while grouping together simi…
cs.LG2021★ 3 cited
Learning-Augmented -means Clustering
Jon C. Ergun, Zhili Feng, Sandeep Silwal +2
-means clustering is a well-studied problem due to its wide applicability. Unfortunately, there exist strong theoretical limits on the performance of any algorithm for the -m…