3 papers
cs.LG2026
Minimum Description Length based Granular-Ball Tree Regularization for Spectral Clustering
Zeqiang Xian, Caihui Liu, Yong Zhang +1
Spectral clustering largely depends on the affinity graph, yet constructing a graph that preserves reliable local connectivity while adapting to heterogeneous data structures remai…
cs.LG2026
MDL-GBG: A Non-parametric and Interpretable Granular-Ball Generation Method for Clustering
Zeqiang Xian, Caihui Liu, Yong Zhang +3
Existing granular-ball generation methods are still mainly driven by handcrafted quality measures and heuristic splitting or stopping criteria, which may weaken the transparency of…
cs.LG2026
A Boundary-Aware Non-parametric Granular-Ball Classifier Based on Minimum Description Length
Zeqiang Xian, Caihui Liu, Yong Zhang +3
Existing granular-ball classification methods are often driven by handcrafted quality measures, neighborhood rules, or heuristic splitting and stopping criteria, which may reduce t…