KDD2020

Parameterized Correlation Clustering in Hypergraphs and Bipartite Graphs

Nate Veldt, Anthony Wirth, David F. Gleich

2 citations

Abstract

Motivated by applications in community detection and dense subgraph discovery, we consider new clustering objectives in hypergraphs and bipartite graphs. These objectives are parameterized by one or more resolution parameters in order to enable diverse knowledge discovery in complex data.