Detecting densely connected subgroups in graphs such as communities in social networks is of interest in many research fields. Several methods have been developed to find commun...
In modern databases, complex objects like multimedia data, proteins or text objects can be modeled in a variety of representations and can be decomposed into multiple instances of ...
Stefan Brecheisen, Hans-Peter Kriegel, Matthias Sc...
Abstract. The problem of clustering data can be formulated as a graph partitioning problem. In this setting, spectral methods for obtaining optimal solutions have received a lot of...
Marcus Weber, Wasinee Rungsarityotin, Alexander Sc...
Dynamic graph connectivity algorithms have been studied for many years, but typically in the most general possible setting, where the graph can evolve in completely arbitrary ways...
We consider the problem of clustering a collection of elements based on pairwise judgments of similarity and dissimilarity. Bansal, Blum and Chawla (in: Proceedings of 43rd FOCS, ...
Moses Charikar, Venkatesan Guruswami, Anthony Wirt...