Large-scale clustering remains an active yet challenging task in data mining and machine learning, where existing algorithms often struggle to balance efficiency, accuracy, and adaptability. This ...

Streaming data, characterized by its temporal variations and large volumes, presents unique challenges for clustering tasks. To address these challenges, this paper proposes a novel weighted ...