Semi-Supervised Clustering via Structural Entropy with Different Constraints

Guangjie Zeng, Hao Peng, Angsheng Li +4

Semi-supervised clustering techniques have emerged as valuable tools for leveraging prior information in the form of constraints to improve the quality of clustering outcomes. Desp…