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 Gagolewski ORCID 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): not available, r-oldrel (arm64): not available, r-release (x86_64): quitefastmst_0.9.0.tgz, r-oldrel (x86_64): quitefastmst_0.9.0.tgz

Reverse dependencies:

Reverse imports: genieclust

Linking:

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