2016
Correlation Clustering and Biclustering with Locally Bounded Errors
ICML 2016poster
We consider a generalized version of the correlation clustering problem, defined as follows. Given a complete graph G whose edges are labeled with + or -, we wish to partition the graph into clusters while trying to avoid errors: + edges between clusters or - edges within clusters. Classically, one…