stdbscan

stdbscan-package

<img src="figures/logo.png?package=stdbscan&version=0.1.0" style="float: right" alt="logo" width="120">
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) tools:::Rd_expr_doi("10.1016/j.datak.2006.01.013").

internal

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) <doi:10.1016/j.datak.2006.01.013>.

Antoine Le Doeuff

Spatio-Temporal DBSCAN Clustering

stdbscan-package function

Maintainer: Antoine Le Doeuff <a href="/link/antoine.ldoeuff%40gmail.com?package=stdbscan&version=0.1.0" data-mini-rdoc="stdbscan::antoine.ldoeuff@gmail.com">antoine.ldoeuff@gmail.com</a> (<a href="https://orcid.org/0009-0008-8807-3816">ORCID</a>)

Author

<img src='figures/logo.png' style='float: right' alt='logo' width='120' />
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) tools:::Rd_expr_doi("10.1016/j.datak.2006.01.013").

stdbscan: Spatio-Temporal DBSCAN Clustering — stdbscan-package

Maintainer: Antoine Le Doeuff <a href='mailto:antoine.ldoeuff@gmail.com'>antoine.ldoeuff@gmail.com</a> (<a href='https://orcid.org/0009-0008-8807-3816'>ORCID</a>)

stdbscan-package: stdbscan: Spatio-Temporal DBSCAN Clustering

Description

Arguments

Author

See Also