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)