109 citations · 266 across the 23 of their papers we have counts for
3 papers · 1 filter
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…
Clustering without Over-Representation
Sara Ahmadian, Alessandro Epasto, Ravi Kumar +1
In this paper we consider clustering problems in which each point is endowed with a color. The goal is to cluster the points to minimize the classical clustering cost but with the…
Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts
Alessandro Epasto, Bryan Perozzi
Recent interest in graph embedding methods has focused on learning a single representation for each node in the graph. But can nodes really be best described by a single vector rep…