Granular-Ball Quantum Clustering for Resource-Efficient and Robust Learning
Granular-Ball Quantum Clustering (GBQC) is proposed, a framework that tightly couples granular-ball structural abstraction with quantum feature learning, and significantly reduces quantum kernel evaluations and computational overhead, enabling quantum clustering experiments on larger datasets within parameterized quant...
Su-Zhen Yuan, Qi-Lin Xie, Li-Feng Shen et al.
· 0 citations