dbscan (0.9-0)

Density Based Clustering of Applications with Noise (DBSCAN).


A fast reimplementation of the DBSCAN clustering algorithm using the kd-tree data structure for speedup.

Maintainer: Michael Hahsler
Author(s): Michael Hahsler [aut, cre, cph], Sunil Arya [ctb, cph], David Mount [ctb, cph]

License: GPL (>= 2)

Uses: Rcpp, fpc, microbenchmark
Reverse depends: funtimes, ktaucenters, ParBayesianOptimization
Reverse suggests: gsrc, largeVis, opticskxi, OTclust, performance, shipunov, smotefamily, stranger, supc

Released over 4 years ago.