A fast reimplementation of several densitybased algorithms of the DBSCAN family for spatial data. Includes the DBSCAN (densitybased 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 uses the kdtree data structure (from library ANN) for faster knearest neighbor search. An R interface to fast kNN and fixedradius NN search is also provided.
Package details 


Author  Michael Hahsler [aut, cre, cph], Matthew Piekenbrock [aut, cph], Sunil Arya [ctb, cph], David Mount [ctb, cph] 
Date of publication  20170319 23:26:00 UTC 
Maintainer  Michael Hahsler <mhahsler@lyle.smu.edu> 
License  GPL (>= 2) 
Version  1.11 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.