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quitefastmst: Euclidean and Mutual Reachability Minimum Spanning Trees

Functions to compute Euclidean minimum spanning trees using single-, sesqui-, and dual-tree Boruvka algorithms. Thanks to K-d trees, they are fast in spaces of low intrinsic dimensionality. Mutual reachability distances (used in the definition of the 'HDBSCAN*' algorithm) are also supported. The package also features relatively fast fallback minimum spanning tree and nearest-neighbours algorithms for spaces of higher dimensionality. The 'Python' version of 'quitefastmst' is available via 'PyPI'.

Version:0.9.0
Imports:Rcpp
LinkingTo:Rcpp
Suggests:datasets
Published:2025-07-23
DOI:10.32614/CRAN.package.quitefastmst
Author:Marek GagolewskiORCID iD [aut, cre, cph]
Maintainer:Marek Gagolewski <marek at gagolewski.com>
BugReports:https://github.com/gagolews/quitefastmst/issues
License:AGPL-3
URL:https://quitefastmst.gagolewski.com/,https://github.com/gagolews/quitefastmst
NeedsCompilation:yes
SystemRequirements:OpenMP, C++17
Materials:NEWS
CRAN checks:quitefastmst results

Documentation:

Reference manual:quitefastmst.html ,quitefastmst.pdf

Downloads:

Package source: quitefastmst_0.9.0.tar.gz
Windows binaries: r-devel:quitefastmst_0.9.0.zip, r-release:quitefastmst_0.9.0.zip, r-oldrel:quitefastmst_0.9.0.zip
macOS binaries: r-release (arm64):quitefastmst_0.9.0.tgz, r-oldrel (arm64):quitefastmst_0.9.0.tgz, r-release (x86_64):quitefastmst_0.9.0.tgz, r-oldrel (x86_64):quitefastmst_0.9.0.tgz

Reverse dependencies:

Reverse imports:genieclust

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=quitefastmstto link to this page.


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