Ranked Adjusted Rand: integrating distance and partition information in a measure of clustering agreement

@article{Pinto2006RankedAR,
  title={Ranked Adjusted Rand: integrating distance and partition information in a measure of clustering agreement},
  author={Francisco Ricardo Miranda Pinto and Jo{\~a}o Andr{\'e} Carriço and M{\'a}rio Ramirez and Jonas S. Almeida},
  journal={BMC Bioinformatics},
  year={2006},
  volume={8},
  pages={44 - 44}
}
BackgroundBiological information is commonly used to cluster or classify entities of interest such as genes, conditions, species or samples. However, different sources of data can be used to classify the same set of entities and methods allowing the comparison of the performance of two data sources or the determination of how well a given classification agrees with another are frequently needed, especially in the absence of a universally accepted "gold standard" classification.ResultsHere, we… CONTINUE READING
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