A density-based clustering algorithm and experiments on student dataset with noises using Rough set theory

Abstract

ST-DBSCAN is an extension of the traditional density based clustering algorithm DBSCAN. This algorithm is proposed for clustering spatio-temporal datasets. Spatio-temporal data refers to data which is stored as temporal slices of the spatial dataset. Here the spatial part of data identifies the location in data space and the temporal part of data represents… (More)

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