2019
Improved Parallel Algorithms for Density-Based Network Clustering
ICML 2019oral
Clustering large-scale networks is a central topic in unsupervised learning with many applications in machine learning and data mining. A classic approach to cluster a network is to identify regions of high edge density, which in the literature is captured by two fundamental problems: the densest su…