There is a newer version of dbscanA 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 1.1-5-foss-2019a-R-3.6.0
To load the module for dbscan 1.1-5-foss-2019a-R-3.6.0 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load dbscan/1.1-5-foss-2019a-R-3.6.0
BEAR Apps Version
For more information visit the dbscan website.
This version of dbscan has a direct dependency on: foss/2019a R/3.6.0-foss-2019a
These versions of dbscan are available on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.
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Last modified on 20th December 2019