Journal of Classification - Top Downloaded Papers for 2021

Journal of Classification highlights some of the top downloaded papers from the journal in 2021

• Using Projection-Based Clustering to Find Distance- and Density-Based Clusters in High-Dimensional Data (this opens in a new tab)
  Michael C. Thrun & Alfred Ultsch 
  Journal of Classification Vol. 38, Pages 280–312 (2021)
   

• ROC and AUC with a Binary Predictor: a Potentially Misleading Metric (this opens in a new tab)
  John Muschelli III
  Journal of Classification Vol. 37, Pages 696–708 (2020)
   

• A Comparison of Reliability Coefficients for Ordinal Rating Scales (this opens in a new tab)
  Alexandra de Raadt, Matthijs J. Warrens, Roel J. Bosker & Henk A. L. Kiers 
  Journal of Classification Vol. 38, Pages 519–543 (2021)
   

• Proximity Curves for Potential-Based Clustering (this opens in a new tab)
  Attila Csenki, Daniel Neagu, Denis Torgunov & Natasha Micic
  Journal of Classification Vol. 37, Pages 671–695 (2020)
   

• Comparing partitions (this opens in a new tab)
  Lawrence Hubert & Phipps Arabie 
  Journal of Classification Vol. 2, Pages 193–218 (1985)