dbscan 1.1-8-foss-2020a-R-4.0.0

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 HDBSCAN (hierarchical DBSCAN) and the LOF (local outlier factor) algorithm. 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.

Accessing dbscan 1.1-8-foss-2020a-R-4.0.0

To load the module for dbscan 1.1-8-foss-2020a-R-4.0.0 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load dbscan/1.1-8-foss-2020a-R-4.0.0

BEAR Apps Version

2020a

Architectures

EL8-cascadelake — EL8-icelake — EL8-sapphirerapids

The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.

Extensions

dbscan-1.1-8

More Information

For more information visit the dbscan website.

Dependencies

This version of dbscan has a direct dependency on: foss/2020a R/4.0.0-foss-2020a

Other Versions

These versions of dbscan are available on the BEAR systems (BlueBEAR and BEAR Cloud VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Version	BEAR Apps Version
1.1-5-foss-2019a-R-3.6.0	2019a
1.1-3-foss-2018b-R-3.5.1	2018b

Last modified on 12th May 2021