3 papers
stat.ME2026
An Empirical Comparison of Methods for Quantifying the Similarity of Numeric Datasets
Marieke Stolte, Jörg Rahnenführer, Andrea Bommert
Methods for quantifying the similarity of datasets are relevant in applications where two or more datasets, or their underlying distributions, need to be compared, ranging from two…
stat.ME2026
An Empirical Comparison of Methods for Quantifying the Similarity of Categorical Datasets
Marieke Stolte, Jörg Rahnenführer, Andrea Bommert
Quantifying the similarity of two or more datasets has widespread applications in statistics and machine learning. The method choice is, however, difficult due to the abundance of…
stat.ME2025
Methods for Quantifying Dataset Similarity: a Review, Taxonomy and Comparison
Marieke Stolte, Franziska Kappenberg, Jörg Rahnenführer +1
Quantifying the similarity between datasets has widespread applications in statistics and machine learning. The performance of a predictive model on novel datasets, referred to as…