DESCRIPTION

Package: dbscan
Version: 0.9-6
Date: 2015-12-14
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("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.
NeedsCompilation: yes
Packaged: 2015-12-14 20:30:30 UTC; hahsler
Author: Michael Hahsler [aut, cre, cph],
  Sunil Arya [ctb, cph],
  David Mount [ctb, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>
Repository: CRAN
Date/Publication: 2015-12-15 01:14:05