Data stream clustering algorithms have emerged as a pivotal tool in the analysis of continuously generated data arising from diverse domains such as the Internet of Things, financial markets and ...

For example, one approach employs an adaptive window mechanism coupled with clustering techniques to dynamically recognise events from streaming sensor data [1].