deadwood: Outlier Detection via Trimming of Mutual Reachability Minimum
Spanning Trees
Implements an anomaly detection algorithm based on
mutual reachability minimum spanning trees: 'deadwood' trims
protruding tree segments and marks small debris as outliers;
see Gagolewski (2026) <https://deadwood.gagolewski.com/>.
More precisely, the use of a mutual reachability distance pulls
peripheral points farther away from each other. Tree edges
with weights beyond the detected elbow point are removed.
All the resulting connected components whose sizes are smaller
than a given threshold are deemed anomalous.
The 'Python' version of 'deadwood' is available via 'PyPI'.
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