With the development of satellite networks, space-air-ground integrated networks, and the Internet of Things, the future giant constellations, high-resolution Earth observation, human-crewed ...

Miner, an efficient spatial data mining framework that discovers dynamic co-location patterns across evolving urban ...

Researchers report distributed-memory implementations of the WCC and CM algorithms that post-process network clusterings for ...

Clustering is a data science technique in machine learning that groups similar rows in a data set. After running a clustering technique, a new column appears in the data set to indicate the group each ...

A collaborative study has developed a software called gutSMASH that identifies primary metabolic gene clusters (MGCs) in specific microbial taxonomic groups that are important in host–microbiome ...