r-dbscan

condav1.2_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.

License GPL-2.0-or-later14 versions1 maintainers0 deps601 weekly dl
57
/ 100
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safe to use

[email protected]_0 is safe to use (health: 57/100)

Health breakdown0 – 100
15/25
maintenance
3/20
popularity
25/25
security
12/15
maturity
2/15
community
Vulnerabilities
0
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First published · 2021-02-26 08:10:31.379000+00:00

Last updated · 2025-12-19 10:05:36.172000+00:00