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lumbermark  

Resistant Clustering via Chopping Up Mutual Reachability Minimum Spanning Trees
View on CRAN: Click here


Download and install lumbermark package within the R console
Install from CRAN:
install.packages("lumbermark")

Install from Github:
library("remotes")
install_github("cran/lumbermark")

Install by package version:
library("remotes")
install_version("lumbermark", "0.9.0")



Attach the package and use:
library("lumbermark")
Maintained by
Marek Gagolewski
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-16
Latest Update: 2026-03-16
Description:
Implements a fast and resistant divisive clustering algorithm which identifies a specified number of clusters:'lumbermark' iteratively chops off sizeable limbs that are joined by protruding segments of a dataset's mutual reachability minimum spanning tree; see Gagolewski (2026) <https://lumbermark.gagolewski.com/>. The use of a mutual reachability distance pulls peripheral points farther away from each other.When combined with the 'deadwood' package, it can act as an outlier detector.The 'Python' version of 'lumbermark' is available via 'PyPI'.
How to cite:
Marek Gagolewski (2026). lumbermark: Resistant Clustering via Chopping Up Mutual Reachability Minimum Spanning Trees. R package version 0.9.0, https://cran.r-project.org/web/packages/lumbermark. Accessed 27 Jun. 2026.
Previous versions and publish date:
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Complete documentation for lumbermark
Functions, R codes and Examples using the lumbermark R package
Full lumbermark package functions and examples
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