lumbermark
0.9.0Resistant Clustering via Chopping Up Mutual Reachability Minimum Spanning Trees
Overview
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'.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-04-2214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1813 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-175 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 50%
Downloads
Repository
Releases over time
Repository practices
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/gagolews/lumbermark on 2026-08-16.
Dependencies
Code & Tests
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.9.0Latest2026-03-17 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-03-17
- Total releases
- 1 / 1 yrs
- License
- AGPL-3 OSI
- Download size
- 12 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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