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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 |
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 |
Reference manual: | quitefastmst.html , quitefastmst.pdf |
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 imports: | genieclust |
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