A comparison of extrinsic clustering evaluation metrics based on formal constraints

@article{Amig2008ACO,
  title={A comparison of extrinsic clustering evaluation metrics based on formal constraints},
  author={Enrique Amig{\'o} and Julio Gonzalo and Javier Artiles and M. Felisa Verdejo},
  journal={Information Retrieval},
  year={2008},
  volume={12},
  pages={461-486}
}
There is a wide set of evaluation metrics available to compare the quality of text clustering algorithms. In this article, we define a few intuitive formal constraints on such metrics which shed light on which aspects of the quality of a clustering are captured by different metric families. These formal constraints are validated in an experiment involving human assessments, and compared with other constraints proposed in the literature. Our analysis of a wide range of metrics shows that only… CONTINUE READING
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