23 citations · 146 across the 41 of their papers we have counts for
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cs.DS2019★ 4 cited
Bisect and Conquer: Hierarchical Clustering via Max-Uncut Bisection
Sara Ahmadian, Vaggos Chatziafratis, Alessandro Epasto +4
Hierarchical Clustering is an unsupervised data analysis method which has been widely used for decades. Despite its popularity, it had an underdeveloped analytical foundation and t…
cs.DS2019★ 2 cited
Improved algorithms for Correlation Clustering with local objectives
Sanchit Kalhan, Konstantin Makarychev, Timothy Zhou
Correlation Clustering is a powerful graph partitioning model that aims to cluster items based on the notion of similarity between items. An instance of the Correlation Clustering…