Bounded correlation clustering

Reuben Ndindi
Reuben Ndindi

I. J. Data Science and Analytics, Volume 1, Issue 1, 2016, Pages 17-35.

Cited by: 1|Bibtex|Views4|Links
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Keywords:
Clustering Multicut Approximation algorithms User interaction

Abstract:

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

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