Bounded correlation clustering
I. J. Data Science and Analytics, Volume 1, Issue 1, 2016, Pages 17-35.
Clustering Multicut Approximation algorithms User interaction
Correlation clustering is to partition a set of objects into clusters such that the number of false positives and negatives is minimized. In this paper, we combine correlation clustering and user interaction. More specifically, we allow the user to control the quality of the clustering by providing error bounds on the number of false posi...More
Full Text (Upload PDF)
PPT (Upload PPT)