Jump to content Jump to search

Clustering

Description:

Clustering, i.e., grouping elements based on similar features, is a fundamental task in machine learning. We develop fast algorithms for the multicut formulation of the clustering problem. A special focus is placed on scalable, theoretically grounded algorithms that operate on datasets that previously required too long runtimes. In this context, we are interested in GPU solvers. Another focus is on dense multicut, i.e., clustering problems where the similarity features are given for all pairs of points.      

Literatur:

 

 

 

Responsible for the content: Sekretariat SARMATA : Contact by e-mail