Clustering is the process of using heuristic to link together individual UTXOs that are controlled by a single wallet. It is ...

Data were extracted from the patient’s medical record, encompassing demographic, clinical and immunological features. Two hierarchical clustering analyses were performed: one at diagnosis and the ...

In atmospheric water cycle research, water vapor trajectory analysis is a crucial tool for understanding the sources and transport pathways of precipitation water vapor. As a mainstream Lagrangian ...

Introduction Cluster randomised trials (CRTs) randomise participants in groups, rather than as individuals, and are key tools used to assess interventions in health research where treatment ...

The advent of big data analytics has revolutionised how media organisations gather, analyse, and interpret vast amounts of data to gain insights into audience preferences, behaviours, and trends.

Explore the top 17 AI data analytics tools revolutionizing how we extract insights from vast data sets, making advanced data analysis accessible to everyone.

In the context of the 2050 net-zero emissions goal, accurately forecasting solar photovoltaic (PV) generation is crucial for maintaining a reliable grid operation. This paper explores clustering ...