stdbscan: Spatio-Temporal DBSCAN Clustering

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Authors: Antoine Le Doeuff
Cited by: 1
References: 1

Abstract

Implements the ST-DBSCAN (spatio-temporal density-based spatial clustering of applications with noise) clustering algorithm for detecting spatially and temporally dense regions in point data, with a fast C++ backend via 'Rcpp'. Birant and Kut (2007) .

Publication details

Journal / source
CRAN: Contributed Packages
Publisher
The R Foundation
Publication date
27 January 2026
Document type
Dataset