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  "Title": "Resistant Clustering via Chopping Up Mutual Reachability Minimum\nSpanning Trees",
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  "Authors@R": "person(\"Marek\", \"Gagolewski\",\nrole = c(\"aut\", \"cre\", \"cph\"),\nemail = \"marek@gagolewski.com\",\ncomment = c(ORCID = \"0000-0003-0637-6028\")\n)",
  "Description": "Implements a fast and resistant divisive clustering\nalgorithm which identifies a specified number of clusters:\n'lumbermark' iteratively chops off sizeable limbs that are\njoined by protruding segments of a dataset's mutual\nreachability minimum spanning tree (Gagolewski, 2026\n<DOI:10.48550/arXiv.2604.07143>). The use of a mutual\nreachability distance pulls peripheral points farther away from\neach other.  When combined with the 'deadwood' package, it can\nact as an outlier detector.  The 'Python' version of\n'lumbermark' is available via 'PyPI'.",
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