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What is ST-DBSCAN: Clustering Spatial-Temporal Data about?

ST-DBSCAN is a new density-based clustering algorithm that is an extension of DBSCAN. It addresses some limitations of DBSCAN for clustering spatial-temporal data. Specifically, ST-DBSCAN can cluster data based on non-spatial, spatial, and temporal attributes. It also better handles noise points and adjacent clusters of different densities that DBSCAN cannot distinguish well. The paper presents ST-DBSCAN and evaluates it on a spatial-temporal data warehouse designed to store and analyze environmental data f

Author

jose puma chavez

Language

EN