2 papers
cs.LG2025
Personalized Interpretable Classification
Zengyou He, Pengju Li, Yifan Tang +3
How to interpret a data mining model has received much attention recently, because people may distrust a black-box predictive model if they do not understand how the model works. H…
cs.LG2024
Clusterability test for categorical data
Lianyu Hu, Junjie Dong, Mudi Jiang +2
The objective of clusterability evaluation is to check whether a clustering structure exists within the data set. As a crucial yet often-overlooked issue in cluster analysis, it is…