Source: r-cran-dbscan
Standards-Version: 4.7.4
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Uploaders:
 Steffen Moeller <moeller@debian.org>,
Section: gnu-r
Testsuite: autopkgtest-pkg-r
Build-Depends:
 debhelper-compat (= 13),
 dh-r,
 r-base-dev,
 r-cran-generics,
 r-cran-rcpp,
 architecture-is-64-bit,
 architecture-is-little-endian,
Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-cran-dbscan
Vcs-Git: https://salsa.debian.org/r-pkg-team/r-cran-dbscan.git
Homepage: https://cran.r-project.org/package=dbscan

Package: r-cran-dbscan
Architecture: any
Depends:
 ${R:Depends},
 ${shlibs:Depends},
 ${misc:Depends},
Recommends:
 ${R:Recommends},
Suggests:
 ${R:Suggests},
Description: Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Related Algorithms
 A fast reimplementation of several density-based algorithms of the DBSCAN
 family. Includes the clustering algorithms DBSCAN (density-based spatial
 clustering of applications with noise) and HDBSCAN (hierarchical DBSCAN),
 the ordering algorithm OPTICS (ordering points to identify the clustering
 structure), shared nearest neighbor clustering, and the outlier detection
 algorithms LOF (local outlier factor) and GLOSH (global-local outlier score
 from hierarchies). The implementations use 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. Hahsler, Piekenbrock
 and Doran (2019) <doi:10.18637/jss.v091.i01>.
