dbscan : Density Based Clustering of Applications with Noise (DBSCAN) and Related Algorithms

Package: dbscan
Version: 0.9-7
Date: 2016-04-14
Title: Density Based Clustering of Applications with Noise (DBSCAN) and
Related Algorithms
Authors@R: c(person("Michael", "Hahsler", role = c("aut", "cre", "cph"),
email = "mhahsler@lyle.smu.edu"),
person("Matthew", "Piekenbrock", role = c("ctb", "cph")),
person("Sunil", "Arya", role = c("ctb", "cph")),
person("David", "Mount", role = c("ctb", "cph")))
Description: A fast reimplementation of several density-based algorithms of
the DBSCAN family for spatial data. Includes the DBSCAN (density-based spatial
clustering of applications with noise) and OPTICS (ordering points to identify
the clustering structure) clustering algorithms and the LOF (local outlier
factor) algorithm. The implementations uses the kd-tree data structure (from
library ANN) for faster k-nearest neighbor search. An R interface to fast kNN
and fixed-radius NN search is also provided.
Imports: Rcpp, graphics, stats, methods
LinkingTo: Rcpp
Suggests: fpc, microbenchmark, testthat
BugReports: https://github.com/mhahsler/dbscan/issues
License: GPL (>= 2)
Copyright: ANN library is copyright by University of Maryland, Sunil
Arya and David Mount. All other code is copyright by Michael
Hahsler.
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-04-14 14:54:10 UTC; hahsler
Author: Michael Hahsler [aut, cre, cph],
Matthew Piekenbrock [ctb, cph],
Sunil Arya [ctb, cph],
David Mount [ctb, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>
Repository: CRAN
Date/Publication: 2016-04-14 18:19:33