4 citations · 5 across the 5 of their papers we have counts for
3 papers · 1 filter
Static to Dynamic Correlation Clustering
Nairen Cao, Vincent Cohen-Addad, Euiwoong Lee +7
Correlation clustering is a well-studied problem, first proposed by Bansal, Blum, and Chawla [Mach. Learn. '04]. The input is an unweighted, undirected graph. The problem is to clu…
Solving the Correlation Cluster LP in Sublinear Time
Nairen Cao, Vincent Cohen-Addad, Shi Li +7
Correlation Clustering is a fundamental and widely-studied problem in unsupervised learning and data mining. The input is a graph and the goal is to construct a clustering minimizi…
Combinatorial Correlation Clustering
Vincent Cohen-Addad, David Rasmussen Lolck, Marcin Pilipczuk +3
Correlation Clustering is a classic clustering objective arising in numerous machine learning and data mining applications. Given a graph , the goal is to partition the ve…