Clustering with Interactive Feedback

9 years 7 months ago
Clustering with Interactive Feedback
In this paper, we initiate a theoretical study of the problem of clustering data under interactive feedback. We introduce a query-based model in which users can provide feedback to a clustering algorithm in a natural way via split and merge requests. We then analyze the “clusterability” of different concept classes in this framework — the ability to cluster correctly with a bounded number of requests under only the assumption that each cluster can be described by a concept in the class — and provide efficient algorithms as well as information-theoretic upper and lower bounds.
Maria-Florina Balcan, Avrim Blum
Added 14 Mar 2010
Updated 14 Mar 2010
Type Conference
Year 2008
Where ALT
Authors Maria-Florina Balcan, Avrim Blum
Comments (0)