r-cran-dbscan 1.1-8+ds-4 source package in Ubuntu

Changelog

r-cran-dbscan (1.1-8+ds-4) unstable; urgency=medium

  * Team upload.
    + Source-only upload for testing migration

 -- Nilesh Patra <email address hidden>  Thu, 21 Oct 2021 13:31:45 +0530

Upload details

Uploaded by:
Debian R Packages Maintainers
Uploaded to:
Sid
Original maintainer:
Debian R Packages Maintainers
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
r-cran-dbscan_1.1-8+ds-4.dsc 2.1 KiB 9458ead06792b0fe63c7ddfd923240ce62098120a254973db49d5e312b295ed7
r-cran-dbscan_1.1-8+ds.orig.tar.xz 784.8 KiB 5d301ca9cea839f5206fdf4df4fa8a15d0c812ee421f533ee7c0aaf121c6c1f1
r-cran-dbscan_1.1-8+ds-4.debian.tar.xz 3.3 KiB 3a8aaae1c6cffa5e640f50242d11eae32e52bcd21dc6b89618d2df36bffe314e

Available diffs

No changes file available.

Binary packages built by this source

r-cran-dbscan: Density Based Clustering of Applications with Noise (DBSCAN)

 Density Based Clustering of Applications with Noise (DBSCAN) and
 Related Algorithms provides a fast reimplementation of several density-
 based algorithms of the DBSCAN family for spatial data. 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), and the outlier detection algorithm LOF
 (local outlier factor). 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>.

r-cran-dbscan-dbgsym: debug symbols for r-cran-dbscan