r-cran-dbscan binary package in Ubuntu Lunar s390x
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.
Publishing history
| Date | Status | Target | Component | Section | Priority | Phased updates | Version | ||
|---|---|---|---|---|---|---|---|---|---|
| 2022-12-03 22:03:57 UTC | Published | Ubuntu Lunar s390x | release | universe | gnu-r | Optional | 1.1-11+ds-1 | ||
|
|||||||||
| Deleted | Ubuntu Lunar s390x | proposed | universe | gnu-r | Optional | 1.1-11+ds-1 | |||
|
|||||||||
| 2022-12-03 22:04:12 UTC | Superseded | Ubuntu Lunar s390x | release | universe | gnu-r | Optional | 1.1-10+ds-1 | ||
|
|||||||||
