Inhomogeneous Hypergraph Clustering with Applications

NeurIPS 2017 Pan LiOlgica Milenkovic

Hypergraph partitioning is an important problem in machine learning, computer vision and network analytics. A widely used method for hypergraph partitioning relies on minimizing a normalized sum of the costs of partitioning hyperedges across clusters... (read more)

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